Help bag : misc. typos, fix, small improvements (updated histories..) 55/19955/30
Samuel GOUGEON [Sun, 15 Apr 2018 17:22:04 +0000 (19:22 +0200)]
 * rem: bug http://bugzilla.scilab.org/7221 fixed
 * cumprod: multiple synopses gathered.
 * xpoly : first example fixed (wrong comments) and improved
 * Abusive LaTeX sequences replaced with docbook tags:
    atan dct dst logspace xcorr xcov
 * en_US copies removed: dct, dst, xcorr, xcov

Change-Id: I5404d19975e43062073d20c4876aa6022a1e925c

87 files changed:
scilab/CHANGES.md
scilab/modules/elementary_functions/help/en_US/elementarymatrices/logspace.xml
scilab/modules/elementary_functions/help/en_US/matrixoperations/cumprod.xml
scilab/modules/elementary_functions/help/en_US/trigonometry/atan.xml
scilab/modules/elementary_functions/help/fr_FR/elementarymatrices/logspace.xml
scilab/modules/elementary_functions/help/fr_FR/matrixoperations/cumprod.xml
scilab/modules/elementary_functions/help/ja_JP/elementarymatrices/logspace.xml
scilab/modules/elementary_functions/help/ja_JP/matrixoperations/cumprod.xml
scilab/modules/elementary_functions/help/ja_JP/trigonometry/atan.xml
scilab/modules/elementary_functions/help/pt_BR/elementarymatrices/logspace.xml
scilab/modules/elementary_functions/help/pt_BR/matrixoperations/cumprod.xml
scilab/modules/elementary_functions/help/pt_BR/trigonometry/atan.xml
scilab/modules/elementary_functions/help/ru_RU/elementarymatrices/logspace.xml
scilab/modules/elementary_functions/help/ru_RU/matrixoperations/cumprod.xml
scilab/modules/elementary_functions/help/ru_RU/trigonometry/atan.xml
scilab/modules/functions/help/en_US/whereis.xml
scilab/modules/graphics/help/en_US/polygon/xpoly.xml
scilab/modules/graphics/help/fr_FR/polygon/xpoly.xml
scilab/modules/graphics/help/ja_JP/polygon/xpoly.xml
scilab/modules/graphics/help/pt_BR/polygon/xpoly.xml
scilab/modules/helptools/etc/images_md5.txt
scilab/modules/helptools/images/_LaTeX_atan.xml_1.png [deleted file]
scilab/modules/helptools/images/_LaTeX_atan.xml_2.png [deleted file]
scilab/modules/helptools/images/_LaTeX_atan.xml_3.png [deleted file]
scilab/modules/helptools/images/_LaTeX_atan.xml_4.png [deleted file]
scilab/modules/helptools/images/_LaTeX_dct.xml_1.png
scilab/modules/helptools/images/_LaTeX_dct.xml_10.png [deleted file]
scilab/modules/helptools/images/_LaTeX_dct.xml_11.png [deleted file]
scilab/modules/helptools/images/_LaTeX_dct.xml_12.png [deleted file]
scilab/modules/helptools/images/_LaTeX_dct.xml_2.png
scilab/modules/helptools/images/_LaTeX_dct.xml_3.png
scilab/modules/helptools/images/_LaTeX_dct.xml_4.png
scilab/modules/helptools/images/_LaTeX_dct.xml_5.png
scilab/modules/helptools/images/_LaTeX_dct.xml_6.png
scilab/modules/helptools/images/_LaTeX_dct.xml_7.png
scilab/modules/helptools/images/_LaTeX_dct.xml_8.png
scilab/modules/helptools/images/_LaTeX_dct.xml_9.png [deleted file]
scilab/modules/helptools/images/_LaTeX_dct.xml_ja_JP_1.png [deleted file]
scilab/modules/helptools/images/_LaTeX_dct.xml_ja_JP_2.png [deleted file]
scilab/modules/helptools/images/_LaTeX_dst.xml_1.png
scilab/modules/helptools/images/_LaTeX_dst.xml_10.png [deleted file]
scilab/modules/helptools/images/_LaTeX_dst.xml_11.png [deleted file]
scilab/modules/helptools/images/_LaTeX_dst.xml_12.png [deleted file]
scilab/modules/helptools/images/_LaTeX_dst.xml_2.png
scilab/modules/helptools/images/_LaTeX_dst.xml_3.png
scilab/modules/helptools/images/_LaTeX_dst.xml_4.png
scilab/modules/helptools/images/_LaTeX_dst.xml_5.png
scilab/modules/helptools/images/_LaTeX_dst.xml_6.png
scilab/modules/helptools/images/_LaTeX_dst.xml_7.png [deleted file]
scilab/modules/helptools/images/_LaTeX_dst.xml_8.png [deleted file]
scilab/modules/helptools/images/_LaTeX_dst.xml_9.png [deleted file]
scilab/modules/helptools/images/_LaTeX_logspace.xml_1.png [deleted file]
scilab/modules/helptools/images/_LaTeX_logspace.xml_2.png [deleted file]
scilab/modules/helptools/images/_LaTeX_logspace.xml_3.png [deleted file]
scilab/modules/helptools/images/_LaTeX_logspace.xml_4.png [deleted file]
scilab/modules/helptools/images/_LaTeX_logspace.xml_5.png [deleted file]
scilab/modules/helptools/images/_LaTeX_xcorr.xml_10.png [deleted file]
scilab/modules/helptools/images/_LaTeX_xcorr.xml_11.png [deleted file]
scilab/modules/helptools/images/_LaTeX_xcorr.xml_2.png
scilab/modules/helptools/images/_LaTeX_xcorr.xml_3.png [deleted file]
scilab/modules/helptools/images/_LaTeX_xcorr.xml_4.png [deleted file]
scilab/modules/helptools/images/_LaTeX_xcorr.xml_5.png [deleted file]
scilab/modules/helptools/images/_LaTeX_xcorr.xml_6.png [deleted file]
scilab/modules/helptools/images/_LaTeX_xcorr.xml_7.png [deleted file]
scilab/modules/helptools/images/_LaTeX_xcorr.xml_8.png [deleted file]
scilab/modules/helptools/images/_LaTeX_xcorr.xml_9.png [deleted file]
scilab/modules/helptools/images/_LaTeX_xcov.xml_10.png [deleted file]
scilab/modules/helptools/images/_LaTeX_xcov.xml_11.png [deleted file]
scilab/modules/helptools/images/_LaTeX_xcov.xml_2.png
scilab/modules/helptools/images/_LaTeX_xcov.xml_3.png [deleted file]
scilab/modules/helptools/images/_LaTeX_xcov.xml_4.png [deleted file]
scilab/modules/helptools/images/_LaTeX_xcov.xml_5.png [deleted file]
scilab/modules/helptools/images/_LaTeX_xcov.xml_6.png [deleted file]
scilab/modules/helptools/images/_LaTeX_xcov.xml_7.png [deleted file]
scilab/modules/helptools/images/_LaTeX_xcov.xml_8.png [deleted file]
scilab/modules/helptools/images/_LaTeX_xcov.xml_9.png [deleted file]
scilab/modules/helptools/images/xpoly_1.png
scilab/modules/m2sci/help/en_US/m2sci_equivalents/r/rem.xml
scilab/modules/signal_processing/help/en_US/correlation_convolution/xcorr.xml
scilab/modules/signal_processing/help/en_US/transforms/dct.xml
scilab/modules/signal_processing/help/en_US/transforms/dst.xml
scilab/modules/signal_processing/help/en_US/xcov.xml
scilab/modules/signal_processing/help/fr_FR/xcov.xml [deleted file]
scilab/modules/signal_processing/help/ja_JP/correlation_convolution/xcorr.xml
scilab/modules/signal_processing/help/ja_JP/transforms/dct.xml
scilab/modules/signal_processing/help/ja_JP/transforms/dst.xml
scilab/modules/signal_processing/help/ja_JP/xcov.xml

index 2266904..6fbf017 100644 (file)
@@ -402,6 +402,7 @@ Known issues
 * [#6729](http://bugzilla.scilab.org/show_bug.cgi?id=6729): The compatibility functions `mtlb_int8`, `mtlb_int16`, `mtlb_int32`, `mtlb_uint8`, `mtlb_uint16` and `mtlb_uint32` were not actually Matlab-like. Their documentation was neither correct nor up-to-date. `mtlb_int64` and `mtlb_int64` were missing.
 * [#6737](http://bugzilla.scilab.org/show_bug.cgi?id=6737): mouse events were not correctly reported to an event handler function.
 * [#6939](http://bugzilla.scilab.org/show_bug.cgi?id=6939): `nearfloat("succ",rand(2,2,2))` returned a (2,2) matrix with no error.
+* [#7221](http://bugzilla.scilab.org/show_bug.cgi?id=7221): `modulo` was not indicated as the equivalent of Matlab's rem().
 * [#7277](http://bugzilla.scilab.org/show_bug.cgi?id=7277): SciNotes `File>Open recent` menu was not updated after 5 items were added.
 * [#7641](http://bugzilla.scilab.org/show_bug.cgi?id=7641): `uint8(1):uint16(4)` produced an error instead of being parsed as `uint8(1):1:uint16(4)`, that passes.
 * [#7675](http://bugzilla.scilab.org/show_bug.cgi?id=7675): sparse() got a wrong result, when creation with many values in same position.
index 326f1c4..2dd4a86 100644 (file)
  * along with this program.
  *
  -->
-<refentry xmlns="http://docbook.org/ns/docbook" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:svg="http://www.w3.org/2000/svg" xmlns:ns5="http://www.w3.org/1999/xhtml" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:db="http://docbook.org/ns/docbook" xmlns:scilab="http://www.scilab.org" xml:id="logspace" xml:lang="en">
+<refentry xmlns="http://docbook.org/ns/docbook" xmlns:xlink="http://www.w3.org/1999/xlink"
+          xmlns:svg="http://www.w3.org/2000/svg" xmlns:ns5="http://www.w3.org/1999/xhtml"
+          xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:db="http://docbook.org/ns/docbook"
+          xmlns:scilab="http://www.scilab.org" xml:id="logspace" xml:lang="en">
     <refnamediv>
         <refname>logspace</refname>
         <refpurpose>logarithmically spaced vector</refpurpose>
@@ -45,9 +48,9 @@
         <title>Description</title>
         <para>
             returns a row vector of <literal>n</literal> logarithmically equally
-            spaced points between <latex>10^{d1}</latex> and
-            <latex>10^{d2}</latex>. If <latex>d2=\pi</latex> then the points are
-            between <latex>10^{d1}</latex> and <latex>\pi</latex>.
+            spaced points between 10<superscript>d1</superscript> and
+            10<superscript>d2</superscript>. If <emphasis>d2=π</emphasis> then the points are
+            between 10<superscript>d1</superscript> and π.
         </para>
     </refsection>
     <refsection>
index ee9fd63..d2bf8b5 100644 (file)
     </refnamediv>
     <refsynopsisdiv>
         <title>Syntax</title>
-        <synopsis>y=cumprod(x)</synopsis>
-        <synopsis>y=cumprod(x,orientation)</synopsis>
-        <synopsis>y=cumprod(x,outtype)</synopsis>
-        <synopsis>y=cumprod(x,orientation,outtype)</synopsis>
+        <synopsis>
+          y = cumprod(x)
+          y = cumprod(x, orientation)
+          y = cumprod(x, outtype)
+          y = cumprod(x, orientation, outtype)
+        </synopsis>
     </refsynopsisdiv>
     <refsection>
         <title>Arguments</title>
index 2c820db..47f9554 100644 (file)
@@ -1,5 +1,8 @@
 <?xml version="1.0" encoding="UTF-8"?>
-<refentry xmlns="http://docbook.org/ns/docbook" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:svg="http://www.w3.org/2000/svg" xmlns:ns5="http://www.w3.org/1999/xhtml" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:db="http://docbook.org/ns/docbook" xmlns:scilab="http://www.scilab.org"  xml:id="atan" xml:lang="en">
+<refentry xmlns="http://docbook.org/ns/docbook" xmlns:xlink="http://www.w3.org/1999/xlink"
+          xmlns:svg="http://www.w3.org/2000/svg" xmlns:ns5="http://www.w3.org/1999/xhtml"
+          xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:db="http://docbook.org/ns/docbook"
+          xmlns:scilab="http://www.scilab.org"  xml:id="atan" xml:lang="en">
     <refnamediv>
         <refname>atan</refname>
         <refpurpose>2-quadrant and 4-quadrant inverse tangent</refpurpose>
         <title>Description</title>
         <para>
             The first form computes the 2-quadrant inverse tangent, which is the
-            inverse of <code>tan(phi)</code>. For real <varname>x</varname>,
-            <varname>phi</varname> is in the interval <latex>\left(\dfrac{-\pi}{2}, \dfrac{\pi}{2}\right)</latex>. For complex
+            inverse of <literal>tan(phi)</literal>. For real <varname>x</varname>,
+            <varname>phi</varname> is in the interval (-π/2,π/2). For complex
             <varname>x</varname>, <function>atan</function> has two singular, branching
             points <code>+%i</code>, <code>-%i</code> and the chosen branch
-            cuts are the two imaginary half-straight lines <latex>[i, i*\infty)</latex> and <latex>(-i*\infty, -i]</latex>.
+            cuts are the two imaginary half-straight lines [i,i∞) and (-i∞,-i].
         </para>
         <para>
             The second form computes the 4-quadrant arctangent (<function>atan2</function> in
             Fortran), this is, it returns the argument (angle) of the complex number
-            <literal>x+i*y</literal>. The range of <code>atan(y, x)</code> is
-            <latex>(-\pi, \pi]</latex>.
+            <literal>x+i*y</literal>. The range of <literal>atan(y, x)</literal> is (-π,π].
         </para>
         <para>For real arguments, both forms yield identical values if
             <literal>x&gt;0</literal>.
         </para>
         <para>In case of vector or matrix arguments, the evaluation is done
             element-wise, so that <varname>phi</varname> is a vector or matrix of the
-            same size with <code>phi(i, j) = atan(x(i, j))</code> or
-            <code>phi(i,j) = atan(y(i, j), x(i, j))</code>.
+            same size with <literal>phi(i, j) = atan(x(i, j))</literal> or
+            <literal>phi(i,j) = atan(y(i, j), x(i, j))</literal>.
         </para>
     </refsection>
     <refsection>
index 3d68626..067f535 100644 (file)
         <title>Description</title>
         <para>
             Renvoie un vecteur ligne <literal>n</literal> de valeurs
-            logarithmiquement équidistantes entre <latex>10^{d1}</latex> et
-            <latex>10^{d2}</latex>. Si <latex>d2=\pi</latex> alors les valeurs
-            sont comprises entre <latex>10^{d1}</latex> et
-            <latex>\pi</latex>.
+            logarithmiquement équidistantes entre 10<superscript>d1</superscript> et
+            10<superscript>d2</superscript>. Si <emphasis>d2=π</emphasis> alors les valeurs
+            sont comprises entre 10<superscript>d1</superscript> et π.
         </para>
     </refsection>
     <refsection>
index 488d3af..d6c4428 100644 (file)
     </refnamediv>
     <refsynopsisdiv>
         <title>Séquence d'appel</title>
-        <synopsis>y=cumprod(x)
-            y=cumprod(x,orientation)
-            y=cumprod(x,outtype)
-            y=cumprod(x,orientation,outtype)
+        <synopsis>
+          y = cumprod(x)
+          y = cumprod(x, orientation)
+          y = cumprod(x, outtype)
+          y = cumprod(x, orientation, outtype)
         </synopsis>
     </refsynopsisdiv>
     <refsection>
index 1ffcb76..3941c6d 100644 (file)
     <refsection>
         <title>説明</title>
         <para>
-            <latex>10^{d1}</latex> および
-            <latex>10^{d2}</latex>の間に指数的に等間隔にとった
+            10<superscript>d1</superscript> および
+            10<superscript>d2</superscript>の間に指数的に等間隔にとった
             <literal>n</literal>個の点からなる行ベクトルを返します.
-            <latex>d2=\pi</latex> の場合,
-            <latex>10^{d1}</latex> および <latex>\pi</latex>の間の
+            <emphasis>d2=π</emphasis> の場合,
+            10<superscript>d1</superscript> および πの間の
             点となります.
         </para>
     </refsection>
index ceba330..4c3df4c 100644 (file)
     <refsynopsisdiv>
 
         <title>呼び出し手順</title>
-
-        <synopsis>y=cumprod(x)</synopsis>
-
-        <synopsis>y=cumprod(x,orientation)</synopsis>
-
-        <synopsis>y=cumprod(x,outtype)</synopsis>
-
-        <synopsis>y=cumprod(x,orientation,outtype)</synopsis>
-
+        <synopsis>
+          y = cumprod(x)
+          y = cumprod(x, orientation)
+          y = cumprod(x, outtype)
+          y = cumprod(x, orientation, outtype)
+        </synopsis>
     </refsynopsisdiv>
 
     <refsection>
index 214c153..a258090 100644 (file)
@@ -1,5 +1,8 @@
 <?xml version="1.0" encoding="UTF-8"?>
-<refentry xmlns="http://docbook.org/ns/docbook" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:svg="http://www.w3.org/2000/svg" xmlns:ns5="http://www.w3.org/1999/xhtml" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:db="http://docbook.org/ns/docbook" xmlns:scilab="http://www.scilab.org" xml:id="atan" xml:lang="ja">
+<refentry xmlns="http://docbook.org/ns/docbook" xmlns:xlink="http://www.w3.org/1999/xlink"
+          xmlns:svg="http://www.w3.org/2000/svg" xmlns:ns5="http://www.w3.org/1999/xhtml"
+          xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:db="http://docbook.org/ns/docbook"
+          xmlns:scilab="http://www.scilab.org" xml:id="atan" xml:lang="ja">
     <refnamediv>
         <refname>atan</refname>
         <refpurpose>2象限および 4象限逆正接</refpurpose>
             最初の形式は2象限逆正接を計算します.
             これは,<code>tan(phi)</code>の逆関数です.
             <varname>x</varname>が実数の場合,
-            <varname>phi</varname>は <latex>\left(\dfrac{-\pi}{2}, \dfrac{\pi}{2}\right)</latex> の範囲となります.
+            <varname>phi</varname>は (-π/2,π/2) の範囲となります.
             <varname>x</varname>が複素数の場合,
             <function>atan</function>は二つの特異な分岐点
             <code>+%i</code>, <code>-%i</code>を有し,
             選択した分枝切断(branch cuts)は, 虚数の2つの半直線
-            <latex>[i, i*\infty)</latex> および
-            <latex>(-i*\infty, -i]</latex> となります.
+            [i,i∞) および
+            (-i∞,-i] となります.
         </para>
         <para>
             2番目の形式は4象限逆正接を計算します(Fortranの
             <function>atan2</function>).
             この場合,この関数は,複素数 <literal>x+i*y</literal> の偏角(角度)を
             返します.
-            <code>atan(y, x)</code>の範囲は, <latex>(-\pi, \pi]</latex> です.
+            <literal>atan(y, x)</literal>の範囲は, (-π,π] です.
         </para>
         <para>
             引数が実数の場合,<literal>x&gt;0</literal>には
@@ -68,8 +71,8 @@
             引数がベクトルまたは行列の場合,
             要素毎に評価が行われ,<varname>phi</varname>は
             同じ大きさのベクトルまたは行列となります.
-            この際, <code>phi(i, j) = atan(x(i, j))</code> または
-            <code>phi(i,j) = atan(y(i, j), x(i, j))</code>
+            この際, <literal>phi(i, j) = atan(x(i, j))</literal> または
+            <literal>phi(i,j) = atan(y(i, j), x(i, j))</literal>
             となります.
         </para>
     </refsection>
@@ -81,11 +84,13 @@ x=[1,%i,-1,%i]
 phasex=atan(imag(x),real(x))
 atan(0,-1)
 atan(-%eps,-1)
+
 // 分岐切断(branch cut)
 atan(-%eps + 2*%i)
 atan(+%eps + 2*%i)
 atan(-%eps - 2*%i)
 atan(+%eps - 2*%i)
+
 // 分岐点における値
 ieee(2)
 atan(%i)
index 6fd05f7..a6176f2 100644 (file)
 <refentry xmlns="http://docbook.org/ns/docbook" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:svg="http://www.w3.org/2000/svg" xmlns:ns4="http://www.w3.org/1999/xhtml" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:db="http://docbook.org/ns/docbook" xmlns:scilab="http://www.scilab.org" xml:id="logspace" xml:lang="pt">
     <refnamediv>
         <refname>logspace</refname>
-        <refpurpose>vetor espaçado logaritmicamente</refpurpose>
+        <refpurpose>vetor espaçado logaritmicamente</refpurpose>
     </refnamediv>
     <refsynopsisdiv>
-        <title>Seqüência de Chamamento</title>
+        <title>Seqüência de Chamamento</title>
         <synopsis>logspace(d1,d2, [n])</synopsis>
     </refsynopsisdiv>
     <refsection>
-        <title>Parâmetros</title>
+        <title>Parâmetros</title>
         <variablelist>
             <varlistentry>
                 <term>d1,d2</term>
             <varlistentry>
                 <term>n</term>
                 <listitem>
-                    <para>inteiro (número de valores). O valor padrão é 50</para>
+                    <para>inteiro (número de valores). O valor padrão é 50</para>
                 </listitem>
             </varlistentry>
         </variablelist>
     </refsection>
     <refsection>
-        <title>Descrição</title>
+        <title>Descrição</title>
         <para>
-            Retorna um vetor linha de <literal>n</literal> pontos espaçados
-            logaritmicamente de maneira igual entre <latex>10^{d1}</latex> e
-            <latex>10^{d2}</latex>. Se <latex>d2=\pi</latex> então os pontos
-            estão entre <latex>10^{d1}</latex> e <latex>\pi</latex>.
+            Retorna um vetor linha de <literal>n</literal> pontos espaçados
+            logaritmicamente de maneira igual entre 10<superscript>d1</superscript> e
+            10<superscript>d2</superscript>. Se <emphasis>d2=π</emphasis> então os pontos
+            estão entre 10<superscript>d1</superscript> e π.
         </para>
     </refsection>
     <refsection>
@@ -57,7 +57,7 @@ logspace(1,2,10)
  ]]></programlisting>
     </refsection>
     <refsection role="see also">
-        <title>Ver Também</title>
+        <title>Ver Também</title>
         <simplelist type="inline">
             <member>
                 <link linkend="linspace">linspace</link>
index 44ebef2..0ddc859 100644 (file)
         <refpurpose>produto cumulativo</refpurpose>
     </refnamediv>
     <refsynopsisdiv>
-        <title>Seqüência de Chamamento</title>
-        <synopsis>y=cumprod(x)
-            y=cumprod(x,'r') ou y=cumprod(x,1)
-            y=cumprod(x,'c') ou y=cumprod(x,2)
-            y=cumprod(x,'m')
+        <title>Seqüência de Chamamento</title>
+        <synopsis>
+          y = cumprod(x)
+          y = cumprod(x, orientation)
+          y = cumprod(x, outtype)
+          y = cumprod(x, orientation, outtype)
         </synopsis>
     </refsynopsisdiv>
     <refsection>
-        <title>Parâmetros</title>
+        <title>Parâmetros</title>
         <variablelist>
             <varlistentry>
                 <term>x</term>
@@ -44,7 +45,7 @@
         </variablelist>
     </refsection>
     <refsection>
-        <title>Descrição</title>
+        <title>Descrição</title>
         <para>
             Para um vetor ou matriz <literal>x</literal>,
             <literal>y=cumprod(x)</literal> retorna em <literal>y</literal> o produto
@@ -64,8 +65,8 @@
             <literal> y(:,i)=cumprod(x(:,i))</literal>.
         </para>
         <para>
-            <literal>y=cumprod(x,'m')</literal> é o produto cumulativo ao longo
-            da primeira dimensão não-singleton de <literal>x</literal> (para
+            <literal>y=cumprod(x,'m')</literal> é o produto cumulativo ao longo
+            da primeira dimensão não-singleton de <literal>x</literal> (para
             compatibilidade com Matlab).
         </para>
     </refsection>
@@ -85,7 +86,7 @@ for k=2:m;w(k,:)=w(k-1,:).*a(k,:);end;w-cumprod(a,'r')
  ]]></programlisting>
     </refsection>
     <refsection role="see also">
-        <title>Ver Também</title>
+        <title>Ver Também</title>
         <simplelist type="inline">
             <member>
                 <link linkend="cumsum">cumsum</link>
index f5d5126..8c5651e 100644 (file)
@@ -1,5 +1,8 @@
 <?xml version="1.0" encoding="UTF-8"?>
-<refentry xmlns="http://docbook.org/ns/docbook" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:svg="http://www.w3.org/2000/svg" xmlns:ns4="http://www.w3.org/1999/xhtml" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:db="http://docbook.org/ns/docbook" xmlns:scilab="http://www.scilab.org" xml:id="atan" xml:lang="pt">
+<refentry xmlns="http://docbook.org/ns/docbook" xmlns:xlink="http://www.w3.org/1999/xlink"
+          xmlns:svg="http://www.w3.org/2000/svg" xmlns:ns4="http://www.w3.org/1999/xhtml"
+          xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:db="http://docbook.org/ns/docbook"
+          xmlns:scilab="http://www.scilab.org" xml:id="atan" xml:lang="pt">
     <refnamediv>
         <refname>atan</refname>
         <refpurpose>arco-tangente 2-quadrantes e 4-quadrantes</refpurpose>
@@ -8,7 +11,7 @@
         <title>Seqüência de Chamamento</title>
         <synopsis>
             phi = atan(x)
-            phi=atan(y,x)
+            phi = atan(y,x)
         </synopsis>
     </refsynopsisdiv>
     <refsection>
         <title>Descrição</title>
         <para>A primeira forma computa o arco-tangente 2-quadrantes, que é o
             inverso de <literal>tan(phi)</literal>. Para um real <literal>x</literal>,
-            <literal>phi</literal> está no intervalo <latex>\left(\dfrac{-\pi}{2}, \dfrac{\pi}{2}\right)</latex>.. Para um complexo
+            <literal>phi</literal> está no intervalo (-π/2,π/2).. Para um complexo
             <literal>x</literal>, <literal>atan</literal> tem dois pontos de
             ramificação singulares <literal>+%i</literal>,<literal>-%i</literal> e os
-            ramos escolhidos são as duas semi-retas imaginárias <latex>[i, i*\infty)</latex> e <latex>(-i*\infty, -i]</latex>.
+            ramos escolhidos são as duas semi-retas imaginárias [i,i∞) e (-i∞,-i].
         </para>
         <para>A segunda forma computa o arco-tangente 4-quadrantes (atan2 em
             FORTRAN), isto é, retorna o argumento (ângulo) do número complexo
-            <literal>x+i*y</literal>. A imagem de <literal>atan(y,x)</literal> é <latex>(-\pi, \pi]</latex>.
+            <literal>x+i*y</literal>. A imagem de <literal>atan(y,x)</literal> é (-π,π].
         </para>
         <para>Para argumentos reais, ambas as formas produzem valores idênticos se
             <literal>x&gt;0</literal>.
index b5e83c7..d632966 100644 (file)
     <refsection>
         <title>Описание</title>
         <para>
-            Возвращает вектор-строку из <literal>n</literal> точек равномерно распределённых в логарифмическом масштабе между <latex>10^{d1}</latex> и <latex>10^{d2}</latex>. Если <latex>d2=\pi</latex>, то точки располагаются между <latex>10^{d1}</latex> и <latex>\pi</latex>.
+            Возвращает вектор-строку из <literal>n</literal> точек равномерно распределённых в
+            логарифмическом масштабе между 10<superscript>d1</superscript> и
+            10<superscript>d2</superscript>. Если <emphasis>d2=π</emphasis>, то точки располагаются
+            между 10<superscript>d1</superscript> и π.
         </para>
     </refsection>
     <refsection>
index 5cbce22..4147260 100644 (file)
     </refnamediv>
     <refsynopsisdiv>
         <title>Синтаксис</title>
-        <synopsis>y=cumprod(x)</synopsis>
-        <synopsis>y=cumprod(x,orientation)</synopsis>
-        <synopsis>y=cumprod(x,outtype)</synopsis>
-        <synopsis>y=cumprod(x,orientation,outtype)</synopsis>
+          y = cumprod(x)
+          y = cumprod(x, orientation)
+          y = cumprod(x, outtype)
+          y = cumprod(x, orientation, outtype)
     </refsynopsisdiv>
     <refsection>
         <title>Аргументы</title>
index d123a9b..9eb8598 100644 (file)
@@ -1,5 +1,8 @@
 <?xml version="1.0" encoding="UTF-8"?>
-<refentry xmlns="http://docbook.org/ns/docbook" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:svg="http://www.w3.org/2000/svg" xmlns:ns5="http://www.w3.org/1999/xhtml" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:db="http://docbook.org/ns/docbook" xmlns:scilab="http://www.scilab.org" xml:id="atan" xml:lang="ru">
+<refentry xmlns="http://docbook.org/ns/docbook" xmlns:xlink="http://www.w3.org/1999/xlink"
+          xmlns:svg="http://www.w3.org/2000/svg" xmlns:ns5="http://www.w3.org/1999/xhtml"
+          xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:db="http://docbook.org/ns/docbook"
+          xmlns:scilab="http://www.scilab.org" xml:id="atan" xml:lang="ru">
     <refnamediv>
         <refname>atan</refname>
         <refpurpose>2-х и 4-х квадрантный арктангенс</refpurpose>
         <title>Описание</title>
         <para>
             Первая форма вычисляет 2-х квадрантный арктангенс, который является обратным значением от
-            <code>tan(phi)</code>. Для вещественного <varname>x</varname>,
-            <varname>phi</varname> лежит на интервале  <latex>\left(\dfrac{-\pi}{2}, \dfrac{\pi}{2}\right)</latex>.
-            Для комплексного <varname>x</varname>, <function>atan</function> имеет две неопределённые точки, точки перехода  <code>+%i</code>, <code>-%i</code> и выбираемые переходы  являются двумя мнимыми полупрямыми линиями <latex>[i, i*\infty)</latex> и <latex>(-i*\infty, -i]</latex>.
+            <literal>tan(phi)</literal>. Для вещественного <varname>x</varname>,
+            <varname>phi</varname> лежит на интервале (-π/2,π/2).
+            Для комплексного <varname>x</varname>, <function>atan</function> имеет две
+            неопределённые точки, точки перехода  <code>+%i</code>, <code>-%i</code> и выбираемые
+            переходы  являются двумя мнимыми полупрямыми линиями [i,i∞) и (-i∞,-i].
         </para>
         <para>
-            Вторая форма вычисляет 4-х квадрантный арктангенс (в Фортране <function>atan2</function>), то есть она возвращает аргумент (угол) комплексного числа <literal>x+i*y</literal>.
-            Диапазон <code>atan(y, x)</code> равен <latex>(-\pi, \pi]</latex>.
+            Вторая форма вычисляет 4-х квадрантный арктангенс (в Фортране <function>atan2</function>),
+            то есть она возвращает аргумент (угол) комплексного числа <literal>x+i*y</literal>.
+            Диапазон <literal>atan(y, x)</literal> равен (-π,π].
         </para>
         <para>
             Для вещественных аргументов обе формы дают идентичные значения, если
             <literal>x&gt;0</literal>.
         </para>
         <para>
-            Если аргумент является вектором или матрицей, то вычисление выполняется поэлементно, так что  <varname>phi</varname> является вектором или матрицей того же размера, при этом
-            <code>phi(i, j) = atan(x(i, j))</code> или
-            <code>phi(i, j) = atan(y(i, j), x(i, j))</code>.
+            Если аргумент является вектором или матрицей, то вычисление выполняется поэлементно,
+            так что  <varname>phi</varname> является вектором или матрицей того же размера, при этом
+            <literal>phi(i, j) = atan(x(i, j))</literal> или
+            <literal>phi(i, j) = atan(y(i, j), x(i, j))</literal>.
         </para>
     </refsection>
     <refsection>
index 989b8d5..baa8455 100644 (file)
@@ -1,9 +1,8 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <!--
  * Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
- * Copyright (C) 2017 - Samuel GOUGEON
- *
  * Copyright (C) 2012 - 2016 - Scilab Enterprises
+ * Copyright (C) 2017 - Samuel GOUGEON
  *
  * This file is hereby licensed under the terms of the GNU GPL v2.0,
  * pursuant to article 5.3.4 of the CeCILL v.2.1.
             <variablelist>
                 <varlistentry>
                     <term>a "macro" (written in Scilab language and compiled):</term>
-                    <para>
-                        it may be not loaded (not yet called), but its library must be so.
-                    </para>
-                    <para>
-                        When the same function name is registered in several loaded libraries of
-                        macros, <literal>whereis</literal> returns the name of all of them.
-                    </para>
-                    <para>
-                        <link linkend="libraryinfo">libraryinfo(..)</link> allows to retrieve the
-                        path to definition files of a library.
-                    </para>
-                    <warning>
-                        <itemizedlist>
-                            <listitem>
-                                Since Scilab 6.0: When, in the mymacro.sci file defining a public
-                                macro mymacro() registered in a library, some additional functions
-                                are defined after mymacro(), these additional functions are NOT
-                                registered in the library.
-                                So, <literal>whereis</literal> ignores them and will return
-                                <literal>[]</literal> for them. See the Examples section.
-                            </listitem>
-                            <listitem>
-                                When a module like <literal>xcos</literal> has sublibraries,
-                                these ones are often loaded in Scilab only after the first call
-                                to the main function (like <literal>xcos()</literal>).
-                                As a consequence,
-                                <literal>whereis(..)</literal> querried for a function of such a
-                                sublibrary will return <literal>[]</literal>, until the main
-                                function -- like <literal>xcos()</literal> -- is called a first time.
-                                See the Examples section.
-                            </listitem>
-                        </itemizedlist>
-                    </warning>
-                    <para></para>
+                    <listitem>
+                        <para>
+                            it may be not loaded (not yet called), but its library must be so.
+                        </para>
+                        <para>
+                            When the same function name is registered in several loaded libraries of
+                            macros, <literal>whereis</literal> returns the name of all of them.
+                        </para>
+                        <para>
+                            <link linkend="libraryinfo">libraryinfo(..)</link> allows to retrieve the
+                            path to definition files of a library.
+                        </para>
+                        <warning>
+                            <itemizedlist>
+                                <listitem>
+                                    Since Scilab 6.0: When, in the mymacro.sci file defining a public
+                                    macro mymacro() registered in a library, some additional functions
+                                    are defined after mymacro(), these additional functions are NOT
+                                    registered in the library.
+                                    So, <literal>whereis</literal> ignores them and will return
+                                    <literal>[]</literal> for them. See the Examples section.
+                                </listitem>
+                                <listitem>
+                                    When a module like <literal>xcos</literal> has sublibraries,
+                                    these ones are often loaded in Scilab only after the first call
+                                    to the main function (like <literal>xcos()</literal>).
+                                    As a consequence,
+                                    <literal>whereis(..)</literal> querried for a function of such a
+                                    sublibrary will return <literal>[]</literal>, until the main
+                                    function -- like <literal>xcos()</literal> -- is called a first time.
+                                    See the Examples section.
+                                </listitem>
+                            </itemizedlist>
+                        </warning>
+                    </listitem>
                 </varlistentry>
                 <varlistentry>
                     <term>a user-defined function registered in no library</term>
-                    <para>
-                        but defined
-                        <itemizedlist>
-                            <listitem>
-                                directly in the console by <literal>deff(..)</literal> or by
-                                <literal>function ... endfunction</literal>, or
-                            </listitem>
-                            <listitem>
-                                in a file loaded in the Scilab session with <literal>exec(functionfile.sci)</literal>
-                                or with <literal>getd(..)</literal>,
-                            </listitem>
-                        </itemizedlist>
-                    </para>
-                    <para>
-                        <literal>whereis</literal> returns <literal>"script"</literal>.
-                        When this function is defined in a file, there is no way to retrieve the file
-                        path and name.
-                    </para>
-                    <para/>
+                    <listitem>
+                        <para>
+                            but defined
+                            <itemizedlist>
+                                <listitem>
+                                    directly in the console by <literal>deff(..)</literal> or by
+                                    <literal>function ... endfunction</literal>, or
+                                </listitem>
+                                <listitem>
+                                    in a file loaded in the Scilab session with
+                                    <literal>exec(functionfile.sci)</literal> or with
+                                    <literal>getd(..)</literal>,
+                                </listitem>
+                            </itemizedlist>
+                        </para>
+                        <para>
+                            <literal>whereis</literal> returns <literal>"script"</literal>.
+                            When this function is defined in a file, there is no way to retrieve the file
+                            path and name.
+                        </para>
+                    </listitem>
                 </varlistentry>
                 <varlistentry>
                     <term>a builtin written and compiled in an external language (C, C++..):</term>
-                    <para>
-                        <literal>whereis</literal> returns the name of the module the function
-                        belongs to.
-                    </para>
-                    <para>
-                        The gateway file where the builtin function is declared to belong to the
-                        module is located at
-                        <literal>SCI/modules/moduleName/gateway/moduleName_gateway.xml</literal>,
-                        where <literal>moduleName</literal> must be replaced with the actual module name.
-                    </para>
+                    <listitem>
+                        <para>
+                            <literal>whereis</literal> returns the name of the module the function
+                            belongs to.
+                        </para>
+                        <para>
+                            The gateway file where the builtin function is declared to belong to the
+                            module is located at
+                            <literal>SCI/modules/moduleName/gateway/moduleName_gateway.xml</literal>,
+                            where <literal>moduleName</literal> must be replaced with the actual
+                            module name.
+                        </para>
+                    </listitem>
                 </varlistentry>
             </variablelist>
         </para>
+        <para>
         <warning>
             In the case that the function name is simultaneously defined as a unregistered function
             ("script"), and as a registered one in a library and as a builtin,
             <literal>builtin's module > macro's library > "script" for unregistered macro</literal>.
             However, the actual result may vary (and be []).
         </warning>
+        </para>
     </refsection>
     <refsection>
         <title>Examples</title>
index 17e486b..86b5571 100644 (file)
     <refsection>
         <title>Examples</title>
         <programlisting role="example"><![CDATA[
-    x=sin(2*%pi*(0:4)/5);
-    y=cos(2*%pi*(0:4)/5);
+x = sin(2*%pi*(0:4)/5);
+y = cos(2*%pi*(0:4)/5);
 
-    plot2d(0,0,-1,"010"," ",[-2,-2,2,2])
-    xpoly(x,y,"lines") // by default closed
-    e=gce(); // get the current entity (the last created: here the polyline)
-    set(e,"foreground",5);
-
-    e.closed = 'off' // the polyline is now open
+plot2d(0,0,-1,"010"," ",[-1,-1,1,1])  // draw an empty bounded axes
+xpoly(x, y)
+set(gce(), "foreground", color("red"), "closed", "on");
     ]]></programlisting>
         <scilab:image>
-            x=sin(2*%pi*(0:4)/5);
-            y=cos(2*%pi*(0:4)/5);
-
-            plot2d(0,0,-1,"010"," ",[-2,-2,2,2])
-            xpoly(x,y,"lines")
-            e=gce();
-            set(e,"foreground",5)
-            e.closed = 'off'
-
+          x = sin(2*%pi*(0:4)/5);
+          y = cos(2*%pi*(0:4)/5);
+          plot2d(0,0,-1,"010"," ",[-1,-1,1,1])
+          xpoly(x, y)
+          set(gce(), "foreground", color("red"), "closed", "on");
+          gcf().axes_size = [300 300];
         </scilab:image>
         <programlisting role="example"><![CDATA[
     // With marks instead of lines
index 23887d4..f6f971f 100644 (file)
     <refsection>
         <title>Exemples</title>
         <programlisting role="example"><![CDATA[
-x=sin(2*%pi*(0:4)/5);
-y=cos(2*%pi*(0:4)/5);
+x = sin(2*%pi*(0:4)/5);
+y = cos(2*%pi*(0:4)/5);
 
-plot2d(0,0,-1,"010"," ",[-2,-2,2,2])
-xpoly(x,y,"lines") // par défaut, close=1
-e=gce(); // entité courante (dernière créée : ici la polyline)
-set(e,"foreground",5);
-
-e.closed = 'off' // la polyline est maintenant ouverte
+plot2d(0,0,-1,"010"," ",[-1,-1,1,1])  // trace un repère graphique borné vide
+xpoly(x, y)
+set(gce(), "foreground", color("red"), "closed", "on");
  ]]></programlisting>
         <scilab:image>
-            x=sin(2*%pi*(0:4)/5);
-            y=cos(2*%pi*(0:4)/5);
-
-            plot2d(0,0,-1,"010"," ",[-2,-2,2,2])
-            xpoly(x,y,"lines")
-            e=gce();
-            set(e,"foreground",5)
-            e.closed = 'off'
-
+          x = sin(2*%pi*(0:4)/5);
+          y = cos(2*%pi*(0:4)/5);
+          plot2d(0,0,-1,"010"," ",[-1,-1,1,1])
+          xpoly(x, y)
+          set(gce(), "foreground", color("red"), "closed", "on");
+          gcf().axes_size = [300 300];
         </scilab:image>
         <programlisting role="example"><![CDATA[
 // Avec des marqueurs
index 2eb3ded..7478d37 100644 (file)
         <title>例</title>
 
         <programlisting role="example"><![CDATA[
+x = sin(2*%pi*(0:4)/5);
+y = cos(2*%pi*(0:4)/5);
 
-x=sin(2*%pi*(0:4)/5);
-
-y=cos(2*%pi*(0:4)/5);
-
-
-
-plot2d(0,0,-1,"010"," ",[-2,-2,2,2])
-
-xpoly(x,y,"lines",1) // デフォルトで閉じられます
-
-e = gce(); // カレントのエンティティを取得 (直近に作成: ここではポリライン)
-
-e.foreground = 5;
-
-e.closed = 'off' // ポリラインはオープンされます
-
- ]]></programlisting>
-
+plot2d(0,0,-1,"010"," ",[-1,-1,1,1])  // draw an empty bounded axes
+xpoly(x, y)
+set(gce(), "foreground", color("red"), "closed", "on");
+    ]]></programlisting>
         <scilab:image>
-
-            x=sin(2*%pi*(0:4)/5);
-
-            y=cos(2*%pi*(0:4)/5);
-
-
-
-            plot2d(0,0,-1,"010"," ",[-2,-2,2,2])
-
-            xpoly(x,y,"lines")
-
-            e=gce();
-
-            set(e,"foreground",5)
-
-            e.closed = 'off'
-
-
-
+          x = sin(2*%pi*(0:4)/5);
+          y = cos(2*%pi*(0:4)/5);
+          plot2d(0,0,-1,"010"," ",[-1,-1,1,1])
+          xpoly(x, y)
+          set(gce(), "foreground", color("red"), "closed", "on");
+          gcf().axes_size = [300 300];
         </scilab:image>
 
         <programlisting role="example"><![CDATA[
index d8f73c8..da643ac 100644 (file)
     <refsection>
         <title>Exemplos</title>
         <programlisting role="example"><![CDATA[
-x=sin(2*%pi*(0:4)/5);
-y=cos(2*%pi*(0:4)/5);
+x = sin(2*%pi*(0:4)/5);
+y = cos(2*%pi*(0:4)/5);
 
-plot2d(0,0,-1,"010"," ",[-2,-2,2,2])
-xpoly(x,y,"lines",1) // por padrão é fechado
-
-e = gce(); // retorna a entidade corrente (a última criada: aqui, é a poligonal)
-e.foreground = 5;
-e.closed = 'off' // a poligonal está agora aberta
- ]]></programlisting>
+plot2d(0,0,-1,"010"," ",[-1,-1,1,1])  // draw an empty bounded axes
+xpoly(x, y)
+set(gce(), "foreground", color("red"), "closed", "on");
+    ]]></programlisting>
+        <scilab:image>
+          x = sin(2*%pi*(0:4)/5);
+          y = cos(2*%pi*(0:4)/5);
+          plot2d(0,0,-1,"010"," ",[-1,-1,1,1])
+          xpoly(x, y)
+          set(gce(), "foreground", color("red"), "closed", "on");
+          gcf().axes_size = [300 300];
+        </scilab:image>
     </refsection>
     <refsection role="see also">
         <title>Ver Também</title>
index 793b239..333524f 100644 (file)
@@ -417,10 +417,6 @@ _LaTeX_VoltageSensor.xml_fr_FR_1.png=429b7d2eaa7c5fce1357c725d0ceba0a
 _LaTeX_acosh.xml_1.png=fedb433f0728f6668a0245ba07f4e13f
 _LaTeX_assert_computedigits.xml_1.png=82a70de2c216b6eb1951a75720fdcfc
 _LaTeX_assert_computedigits.xml_2.png=27dba5ee1401d31d2106736651e99140
-_LaTeX_atan.xml_1.png=bf9c1934886b64c591fe77c10bed390c
-_LaTeX_atan.xml_2.png=2e1789ad9c21de80deb3c3faa3c8786c
-_LaTeX_atan.xml_3.png=5e3804310dc7c19ffe0bf27d50327a07
-_LaTeX_atan.xml_4.png=cc41580fcadffac5d4fff0efd2d141b3
 _LaTeX_bvode.xml_1.png=7d919bf8f33698749d88e30e99c33d7c
 _LaTeX_bvode.xml_2.png=417a5301693b60807fa658e5ef9f9535
 _LaTeX_bvode.xml_3.png=7e3c241c2dec821bd6c6fbd314fe4762
@@ -446,34 +442,22 @@ _LaTeX_cumsum.xml_4.png=c9333b61aa171fd3a354f95f095d39eb
 _LaTeX_cumsum.xml_5.png=83945d3c6a18056a1fcd585d40e11705
 _LaTeX_cumsum.xml_6.png=1e00ceeb4652920c0f75ee7c5ee7f525
 _LaTeX_dawson.xml_1.png=c1e5e33f1a6dda99e99cc1c174d39da3
-_LaTeX_dct.xml_1.png=53d147e7f3fe6e47ee05b88b166bd3f6
-_LaTeX_dct.xml_10.png=c1281c78101880b1bfd5f00d8fe3f654
-_LaTeX_dct.xml_11.png=1e1e8ea97c8590c4f0cf49f45885bfdb
-_LaTeX_dct.xml_12.png=f28152d5910cdadab309239834b072b3
-_LaTeX_dct.xml_2.png=55a049b8f161ae7cfeb0197d75aff967
-_LaTeX_dct.xml_3.png=2ab8327da7f356aa24836048a42c8d6a
-_LaTeX_dct.xml_4.png=6003d73578178d83c8a456a7a75cd0cc
-_LaTeX_dct.xml_5.png=ed83da2f4b4974d79b615fa756ccad16
-_LaTeX_dct.xml_6.png=e0b5525d8028e14e0b966cc618e3891f
-_LaTeX_dct.xml_7.png=3a9347912eb63f0db13e7755e6222774
-_LaTeX_dct.xml_8.png=c0e3f553bdf2b00785d85a88c070d7ac
-_LaTeX_dct.xml_9.png=1e1e8ea97c8590c4f0cf49f45885bfdb
-_LaTeX_dct.xml_ja_JP_1.png=55a049b8f161ae7cfeb0197d75aff967
-_LaTeX_dct.xml_ja_JP_2.png=53d147e7f3fe6e47ee05b88b166bd3f6
+_LaTeX_dct.xml_1.png=2ab8327da7f356aa24836048a42c8d6a
+_LaTeX_dct.xml_2.png=6003d73578178d83c8a456a7a75cd0cc
+_LaTeX_dct.xml_3.png=ed83da2f4b4974d79b615fa756ccad16
+_LaTeX_dct.xml_4.png=e0b5525d8028e14e0b966cc618e3891f
+_LaTeX_dct.xml_5.png=3a9347912eb63f0db13e7755e6222774
+_LaTeX_dct.xml_6.png=c0e3f553bdf2b00785d85a88c070d7ac
+_LaTeX_dct.xml_7.png=c1281c78101880b1bfd5f00d8fe3f654
+_LaTeX_dct.xml_8.png=f28152d5910cdadab309239834b072b3
 _LaTeX_derivat.xml_1.png=884753c7c6265a65bb3803b66a0fec59
 _LaTeX_derivat.xml_2.png=1f26913a320e0f43588894e762729d16
-_LaTeX_dst.xml_1.png=55a049b8f161ae7cfeb0197d75aff967
-_LaTeX_dst.xml_10.png=487b751549c27e45c6f346757a948f45
-_LaTeX_dst.xml_11.png=55a049b8f161ae7cfeb0197d75aff967
-_LaTeX_dst.xml_12.png=1c1c3e34d789b6c231379d588dbf6228
-_LaTeX_dst.xml_2.png=9cd22909f8eca591c252c206124e482f
-_LaTeX_dst.xml_3.png=55a049b8f161ae7cfeb0197d75aff967
-_LaTeX_dst.xml_4.png=d35f934540a4804eb1475655fa5bd72b
-_LaTeX_dst.xml_5.png=55a049b8f161ae7cfeb0197d75aff967
-_LaTeX_dst.xml_6.png=caa2ed7797bbc39b3a28cb86ce6ce771
-_LaTeX_dst.xml_7.png=55a049b8f161ae7cfeb0197d75aff967
-_LaTeX_dst.xml_8.png=e0b5525d8028e14e0b966cc618e3891f
-_LaTeX_dst.xml_9.png=55a049b8f161ae7cfeb0197d75aff967
+_LaTeX_dst.xml_1.png=9cd22909f8eca591c252c206124e482f
+_LaTeX_dst.xml_2.png=d35f934540a4804eb1475655fa5bd72b
+_LaTeX_dst.xml_3.png=caa2ed7797bbc39b3a28cb86ce6ce771
+_LaTeX_dst.xml_4.png=e0b5525d8028e14e0b966cc618e3891f
+_LaTeX_dst.xml_5.png=487b751549c27e45c6f346757a948f45
+_LaTeX_dst.xml_6.png=1c1c3e34d789b6c231379d588dbf6228
 _LaTeX_eig.xml_1.png=2547e4ad6c49d3508def1b1e6cdc420c
 _LaTeX_erf.xml_1.png=e64af8badd1634f233888753939db01d
 _LaTeX_erfc.xml_1.png=be98f7db5bd298ff2c38bce2e7bb90dd
@@ -528,11 +512,6 @@ _LaTeX_levin.xml_1.png=7ba64bdfad2c53fb336f12443f4926c6
 _LaTeX_levin.xml_2.png=f524fdf11d769933d7138962185e2606
 _LaTeX_lft.xml_1.png=dc31caa4ca7b8e599933934a98dc2262
 _LaTeX_lft.xml_2.png=f7625220850cedf58636ea45c8bb27ca
-_LaTeX_logspace.xml_1.png=d67b97a2acf408e18565a63291c46b5a
-_LaTeX_logspace.xml_2.png=f3494bb39bebc09734755a69db8646d9
-_LaTeX_logspace.xml_3.png=b4b51b16a1b70e75f1e7a7dacd7052bb
-_LaTeX_logspace.xml_4.png=d67b97a2acf408e18565a63291c46b5a
-_LaTeX_logspace.xml_5.png=4f08e3dba63dc6d40b22952c7a9dac6d
 _LaTeX_lqe.xml_1.png=7b2750c6fbb5bb6287223136d920a603
 _LaTeX_lqe.xml_10.png=5755ad79ed20d6a77890207206dd915b
 _LaTeX_lqe.xml_11.png=bb34e1d2e08c29670191ca136cbac8d2
@@ -616,27 +595,9 @@ _LaTeX_sum.xml_4.png=4948a5e8e21b96de5f899532c095edc0
 _LaTeX_sum.xml_5.png=87d06d76f76c0309af6fcc07606b889a
 _LaTeX_sysdiag.xml_1.png=26bcad469ac051064707c071f102456c
 _LaTeX_xcorr.xml_1.png=cf889f12f575a8118808df4285699794
-_LaTeX_xcorr.xml_10.png=3f3494a0a3abbd8e6f2fac7ab1fb4fe0
-_LaTeX_xcorr.xml_11.png=9b325b9e31e85137d1de765f43c0f8bc
-_LaTeX_xcorr.xml_2.png=7c6900bf9dda13f19533733a83b7849d
-_LaTeX_xcorr.xml_3.png=ad65fb02a06736c6abc832f4858ddc40
-_LaTeX_xcorr.xml_4.png=7c6900bf9dda13f19533733a83b7849d
-_LaTeX_xcorr.xml_5.png=81cce9f294bb0778ae1cb2287891dfec
-_LaTeX_xcorr.xml_6.png=c01ec812581580aaad72dcd9ac205fe4
-_LaTeX_xcorr.xml_7.png=9b325b9e31e85137d1de765f43c0f8bc
-_LaTeX_xcorr.xml_8.png=9b325b9e31e85137d1de765f43c0f8bc
-_LaTeX_xcorr.xml_9.png=9b325b9e31e85137d1de765f43c0f8bc
+_LaTeX_xcorr.xml_2.png=ad65fb02a06736c6abc832f4858ddc40
 _LaTeX_xcov.xml_1.png=bd647703daba20ec9bdcbd4990f9b870
-_LaTeX_xcov.xml_10.png=3f3494a0a3abbd8e6f2fac7ab1fb4fe0
-_LaTeX_xcov.xml_11.png=9b325b9e31e85137d1de765f43c0f8bc
-_LaTeX_xcov.xml_2.png=7c6900bf9dda13f19533733a83b7849d
-_LaTeX_xcov.xml_3.png=c3aca862f464e22afc94aaab24f6785f
-_LaTeX_xcov.xml_4.png=7c6900bf9dda13f19533733a83b7849d
-_LaTeX_xcov.xml_5.png=81cce9f294bb0778ae1cb2287891dfec
-_LaTeX_xcov.xml_6.png=c01ec812581580aaad72dcd9ac205fe4
-_LaTeX_xcov.xml_7.png=9b325b9e31e85137d1de765f43c0f8bc
-_LaTeX_xcov.xml_8.png=9b325b9e31e85137d1de765f43c0f8bc
-_LaTeX_xcov.xml_9.png=9b325b9e31e85137d1de765f43c0f8bc
+_LaTeX_xcov.xml_2.png=c3aca862f464e22afc94aaab24f6785f
 _MathML_bvode.xml_1.png=59ed6d548d1dd196562b40c2156fc0b5
 _MathML_bvode.xml_10.png=32dee1f6fd70c8d056d1a9682421da08
 _MathML_bvode.xml_11.png=60db5d62c85d0387f36e98e6837dbd33
@@ -1282,7 +1243,7 @@ xgetech_1.png=302937507487b5bbfbe401ff9e5ea2df
 xgrid_1.png=1e49a2c7efa08eeed42aee791c3f1959
 xlabel_1.png=ba2339f34c8dddbba3032c16dd8378b4
 xnumb_1.png=e2966910792ea6c60caf87dc7d25f856
-xpoly_1.png=de3eb8cacec4aa4ced6992f2df68ad55
+xpoly_1.png=f54ce2ba82e1125456e9efd2b74d1005
 xpoly_2.png=56e4bf7c2fbf668f6c3da56bd3bd64ea
 xpolys_1.png=30719dcd92ada868282322dd1bd0ee11
 xrect_1.png=4f05d205e4b7b787bea3c50e79494cde
diff --git a/scilab/modules/helptools/images/_LaTeX_atan.xml_1.png b/scilab/modules/helptools/images/_LaTeX_atan.xml_1.png
deleted file mode 100644 (file)
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diff --git a/scilab/modules/helptools/images/_LaTeX_atan.xml_2.png b/scilab/modules/helptools/images/_LaTeX_atan.xml_2.png
deleted file mode 100644 (file)
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diff --git a/scilab/modules/helptools/images/_LaTeX_atan.xml_3.png b/scilab/modules/helptools/images/_LaTeX_atan.xml_3.png
deleted file mode 100644 (file)
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diff --git a/scilab/modules/helptools/images/_LaTeX_atan.xml_4.png b/scilab/modules/helptools/images/_LaTeX_atan.xml_4.png
deleted file mode 100644 (file)
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index 6b99d9f..4ef3e94 100644 (file)
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diff --git a/scilab/modules/helptools/images/_LaTeX_dct.xml_10.png b/scilab/modules/helptools/images/_LaTeX_dct.xml_10.png
deleted file mode 100644 (file)
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  * along with this program.
  *
  -->
-<refentry xmlns="http://docbook.org/ns/docbook" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:svg="http://www.w3.org/2000/svg" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:db="http://docbook.org/ns/docbook" xmlns:scilab="http://www.scilab.org" xml:id="m2sci_rem">
+<refentry xmlns="http://docbook.org/ns/docbook" xmlns:xlink="http://www.w3.org/1999/xlink"
+          xmlns:svg="http://www.w3.org/2000/svg" xmlns:mml="http://www.w3.org/1998/Math/MathML"
+          xmlns:db="http://docbook.org/ns/docbook" xmlns:scilab="http://www.scilab.org"
+          xml:id="m2sci_rem">
     <refnamediv>
         <refname>rem (Matlab function)</refname>
         <refpurpose>Remainder after division</refpurpose>
             <tr>
                 <td>
                     <programlisting role="example"><![CDATA[
-rem(X,Y)
+rem(X, Y)
 ]]></programlisting>
                 </td>
                 <td>
                     <programlisting role="example"><![CDATA[
-X-fix(X./Y).*Y
+modulo(X, Y)
 ]]></programlisting>
                 </td>
             </tr>
index 24545a1..fee3ade 100644 (file)
@@ -84,158 +84,96 @@ along with this program.
                 <literal>c=xcorr(x)</literal>
 
                 computes the un-normalized discrete auto correlation:
-
-                <latex>{\begin{matrix}C_k = \sum_{i=1}^{n-k}
-                    {x_{i+k}*x^{*}_i}, k \geq 0 \\ C_k = C^{*}_{-k}, k \leq
-                    -1\end{matrix}.$
-                </latex>
-
-                and return in
-
-                <literal>c</literal>
-
-                the sequence of auto correlation lags
-
-                <latex>$C_k,k=-n:n$</latex>
-
-                with
-
-                <literal>n</literal>
-
-                is the length of
-
-                <literal>x</literal>
-
-
+                <para>
+                  <latex>{\begin{matrix}C_k = \sum_{i=1}^{n-k}
+                      {x_{i+k}*x^{*}_i}, k \geq 0 \\ C_k = C^{*}_{-k}, k \leq
+                      -1\end{matrix}.$
+                  </latex>
+                </para>
+                and return in <literal>c</literal> the sequence of auto correlation lags
+                C<subscript>k=-n:n</subscript>
+                where <literal>n</literal> is the length of <literal>x</literal>
             </listitem>
             <listitem>
                 <literal>xcorr(x,y)</literal>
 
                 computes the un-normalized discrete cross correlation:
-
-                <latex>{\begin{matrix}C_k = \sum_{i=1}^{n-k}
-                    {x_{i+k}*y^{*}_i}, k \geq 0 \\ C_k = C^{*}_{-k}, k \leq
-                    -1\end{matrix}}.$
-                </latex>
-
-                and return in
-
-                <literal>c</literal>
-
-                the sequence of auto correlation lags
-
-                <latex>$C_k,k=-n:n$</latex>
-
-                with
-
-                <literal>n</literal>
-
-                is the maximum of
-
-                <literal>x</literal>
-
-                and
-
-                <literal>y</literal>
-
-                length's.
+                <para>
+                  <latex>{\begin{matrix}C_k = \sum_{i=1}^{n-k}
+                      {x_{i+k}*y^{*}_i}, k \geq 0 \\ C_k = C^{*}_{-k}, k \leq
+                      -1\end{matrix}}.$
+                  </latex>
+                </para>
+                and return in  <literal>c</literal> the sequence of auto correlation lags
+                C<subscript>k=-n:n</subscript>
+                where <literal>n</literal> is the maximum of <literal>x</literal> and
+                <literal>y</literal> lengths.
             </listitem>
         </itemizedlist>
         <para>
             If the <literal>maxlags</literal> argument is given
             <literal>xcorr</literal> returns in <literal>c</literal> the sequence of
-            auto correlation lags <latex>$C_k,k=-maxlags:maxlags$</latex>. If
+            auto correlation lags C<subscript>k=-maxlags:maxlags</subscript>. If
             <literal>maxlags</literal> is greater than <literal>length(x)</literal>,
             the first and last values of <literal>c</literal> are zero.
         </para>
         <para>
             The <literal>scaling</literal> argument describes how
-            <latex>C(k)</latex> is normalized before being returned in
+            <emphasis>C(k)</emphasis> is normalized before being returned in
             <literal>c</literal>:
             <itemizedlist>
                 <listitem>
-                    <term>"biased"</term>:<literal>c=</literal><latex>$C$</latex><literal>/n</literal>.
+                    <term>"biased"</term>: <literal>c=</literal><emphasis>C</emphasis><literal>/n</literal>.
                 </listitem>
                 <listitem>
-                    <term>"unbiased"</term>:<literal>c=</literal><latex>$C$</latex><literal>./(n-(-maxlags:maxlags))</literal>.
+                    <term>"unbiased"</term>: <literal>c=</literal><emphasis>C</emphasis><literal>./(n-(-maxlags:maxlags))</literal>.
                 </listitem>
                 <listitem>
-                    <term>"coeff"</term>:<literal>c=</literal><latex>$C$</latex><literal>/(norm(x)*norm(y))</literal>.
+                    <term>"coeff"</term>: <literal>c=</literal><emphasis>C</emphasis><literal>/(norm(x)*norm(y))</literal>.
                 </listitem>
             </itemizedlist>
         </para>
     </refsection>
     <refsection>
         <title>Remark</title>
-
-        The
-
-        <link linkend="corr">corr</link>
-
-        function computes the "biased" covariance of
-
-        <literal>x</literal>
-
-        and
-
-        <literal>y</literal>
-
-        and only return in
-
-        <literal>c</literal>
-
-        the sequence of auto correlation lags
-
-        <latex>$C_k,k \geq 0$</latex>
-
+        The <link linkend="corr">corr</link> function computes the "biased" covariance of
+        <literal>x</literal> and <literal>y</literal> and only return in <literal>c</literal>
+        the sequence of auto correlation lags C<subscript>k≥0</subscript>
         .
     </refsection>
     <refsection>
-        <refsection>
-            <title>Method</title> This function computes
-            <latex>$C$</latex> using
-            <literal>ifft(fft(x).*conj(fft(y)))</literal>.
-        </refsection>
-        <refsection>
-            <title>Examples</title>
-            <programlisting role="example">t = linspace(0, 100, 2000);
-                y = 0.8 * sin(t) + 0.8 * sin(2 * t);
-                [c, ind] = xcorr(y, "biased");
-                plot(ind, c)
-            </programlisting>
-            <scilab:image>
-                t = linspace(0, 100, 2000);
-                y = 0.8 * sin(t) + 0.8 * sin(2 * t);
-                [c, ind] = xcorr(y, "biased");
-                plot(ind, c)
-            </scilab:image>
-        </refsection>
-        <refsection>
-            <title>See also</title>
-            <simplelist type="inline">
-                <member>
-                    <link linkend="xcov">xcov</link>
-                </member>
-                <member>
-                    <link linkend="corr">corr</link>
-                </member>
-                <member>
-                    <link linkend="fft">fft</link>
-                </member>
-            </simplelist>
-        </refsection>
-        <refsection>
-            <title>Authors</title>
-            <simplelist type="vert">
-                <member>Serge Steer, INRIA</member>
-            </simplelist>
-        </refsection>
-        <title>Used Functions</title>
-        <para>
-            <link linkend="fft">fft</link>
-        </para>
+        <title>Method</title> This function computes <emphasis>C</emphasis> using
+        <literal>ifft(fft(x).*conj(fft(y)))</literal>.
     </refsection>
     <refsection>
+          <title>Examples</title>
+          <programlisting role="example">t = linspace(0, 100, 2000);
+            y = 0.8 * sin(t) + 0.8 * sin(2 * t);
+            [c, ind] = xcorr(y, "biased");
+            plot(ind, c)
+          </programlisting>
+          <scilab:image>
+            t = linspace(0, 100, 2000);
+            y = 0.8 * sin(t) + 0.8 * sin(2 * t);
+            [c, ind] = xcorr(y, "biased");
+            plot(ind, c)
+          </scilab:image>
+      </refsection>
+      <refsection>
+          <title>See also</title>
+          <simplelist type="inline">
+            <member>
+              <link linkend="xcov">xcov</link>
+            </member>
+            <member>
+              <link linkend="corr">corr</link>
+            </member>
+            <member>
+              <link linkend="fft">fft</link>
+            </member>
+          </simplelist>
+      </refsection>
+      <refsection>
         <title>History</title>
         <revhistory>
             <revision>
@@ -243,5 +181,5 @@ along with this program.
                 <revremark>xcorr added.</revremark>
             </revision>
         </revhistory>
-    </refsection>
+      </refsection>
 </refentry>
index 34cebd3..a5c2533 100644 (file)
             <title>Transform description</title>
             <para>
                 This function realizes direct or
-                inverse 1-D or N-D Discrete Cosine Transforms with shift depending on the <literal>option</literal> parameter value. For a 1-D array  <latex>$A$</latex> of length  <latex>$n$</latex>:
+                inverse 1-D or N-D Discrete Cosine Transforms with shift depending on the
+                <literal>option</literal> parameter value. For a 1-D array  <emphasis>A</emphasis>
+                of length  <emphasis>n</emphasis>:
             </para>
             <itemizedlist>
                 <listitem>
             </para>
             <para>
                 The normalized multi-dimensional DCT transform of an array
-                <literal>A</literal> with dimensions <latex>$n_1, n_2, \ldots, n_p$</latex>
-                is given by
+                <literal>A</literal> with dimensions <emphasis>n<subscript>1</subscript>,
+                n<subscript>2</subscript>, …, n<subscript>p</subscript></emphasis> is given by
             </para>
             <para>
                 <latex>
             </para>
             <para>
                 The normalized multi-dimensional DCT inverse transform of an
-                array <literal>A</literal> with dimensions <latex>$n_1, n_2, \ldots, n_p$</latex>is given by
+                array <literal>A</literal> with dimensions <emphasis>n<subscript>1</subscript>,
+                n<subscript>2</subscript>, …, n<subscript>p</subscript></emphasis> is given by
             </para>
             <para>
                 <latex>
index cd7e472..95ffdbd 100644 (file)
             <title>Transform description</title>
             <para>
                 This function realizes direct or
-                inverse 1-D or N-D Discrete Sine Transforms with shift depending on the <literal>option</literal> parameter value:
+                inverse 1-D or N-D Discrete Sine Transforms with shift depending on the
+                <literal>option</literal> parameter value:
             </para>
             <itemizedlist>
                 <listitem>
                     <para>
-                        For <literal>"dst1"</literal> the function computes the unnormalized DST-I transform. The 1-D transform of a vector of length <latex>$n$</latex> is:
+                        For <literal>"dst1"</literal> the function computes the unnormalized DST-I
+                       transform. The 1-D transform of a vector of length <emphasis>n</emphasis> is:
                     </para>
                     <para>
                         <latex>
                 </listitem>
                 <listitem>
                     <para>
-                        For <literal>"dst2"</literal>  the function computes the unnormalized DST-II transform. the 1-D transform of a vector of length <latex>$n$</latex> is:
+                        For <literal>"dst2"</literal>  the function computes the unnormalized DST-II
+                        transform. the 1-D transform of a vector of length <emphasis>n</emphasis> is:
                     </para>
                     <para>
                         <latex>
                 </listitem>
                 <listitem>
                     <para>
-                        For <literal>"dst3"</literal> the function computes the unnormalized DST-III transform. The 1-D transform  of a vector of length <latex>$n$</latex> is:
+                        For <literal>"dst3"</literal> the function computes the unnormalized DST-III
+                        transform. The 1-D transform  of a vector of length <emphasis>n</emphasis> is:
                     </para>
                     <para>
                         <latex>
 
                 <listitem>
                     <para>
-                        For <literal>"dst4"</literal>  the function computes the unnormalized DST-IV transform. the 1-D transform of a vector of length <latex>$n$</latex> is:
+                        For <literal>"dst4"</literal>  the function computes the unnormalized
+                        DST-IV transform. the 1-D transform of a vector of length
+                        <emphasis>n</emphasis> is:
                     </para>
                     <para>
                         <latex>
                 </listitem>
                 <listitem>
                     <para>
-                        For <literal>"dst"</literal> the function computes the normalized DST-I transform. The 1-D transform of a vector of length <latex>$n$</latex> is:
+                        For <literal>"dst"</literal> the function computes the normalized
+                        DST-I transform. The 1-D transform of a vector of length
+                      <emphasis>n</emphasis> is:
                     </para>
                     <para>
                         <latex>
 
                 <listitem>
                     <para>
-                        For <literal>"idst"</literal> the function computes the normalized DST-I transform. The 1-D transform of a vector of length <latex>$n$</latex> is:
+                        For <literal>"idst"</literal> the function computes the normalized
+                        DST-I transform. The 1-D transform of a vector of length
+                        <emphasis>n</emphasis> is:
                     </para>
                     <para>
                         <latex>
                                     <para>
                                         <literal>X=dst(A,-1 [,option])</literal> or
                                         <literal>X=dst(A [,option])</literal> gives a direct
-                                        transform according to the <literal>option</literal> value. The default is normalized DST-I direct transform.
+                                        transform according to the <literal>option</literal> value.
+                                        The default is normalized DST-I direct transform.
                                     </para>
                                     <para>
                                         If <literal>A</literal> is a vector (only one
index 0144acf..078a686 100644 (file)
@@ -84,158 +84,96 @@ along with this program.
                 <literal>c=xcov(x)</literal>
 
                 computes the un-normalized discrete covariance:
-
-                <latex>{\begin{matrix}C_k = \sum_{i=0}^{n-k-1}
-                    {(x_{i+k}-\mu_x})({x_i-\mu_x})^{*} , k \geq 0
-                    \mu_x=\sum_{i=0}^{n-1}{x_i} C_k = C^{*}_{-k}, k \leq
-                    -1\end{matrix}.}$
-                </latex>
-
+                <para>
+                  <latex>{\begin{matrix}C_k = \sum_{i=0}^{n-k-1}
+                      {(x_{i+k}-\mu_x})({x_i-\mu_x})^{*} , k \geq 0
+                      \mu_x=\sum_{i=0}^{n-1}{x_i} C_k = C^{*}_{-k}, k \leq
+                      -1\end{matrix}.}$
+                  </latex>
+                </para>
                 and return in
-
                 <literal>c</literal>
-
-                the sequence of covariance lags
-
-                <latex>$C_k,k=-n:n$</latex>
-
-                with
-
-                <literal>n</literal>
-
-                is the length of
-
-                <literal>x</literal>
-
-
+                the sequence of covariance lags C<subscript>k=-n:n</subscript> where
+                <literal>n</literal> is the length of <literal>x</literal>
             </listitem>
             <listitem>
                 <literal>xcov(x,y)</literal>
-
                 computes the un-normalized discrete cross covariance:
-
-                <latex>${\begin{matrix}C_k = \sum_{i=1}^{n-k}
-                    {(x_{i+k}-\mu_x})*({y_i}-\mu_y)^{*}, k \geq 0
-                    \mu_x=\sum_{i=0}^{n-1}{x_i} \mu_y=\sum_{i=0}^{n-1}{y_i} C_k =
-                    C^{*}_{-k}, k \leq -1\end{matrix}.}$
-                </latex>
-
-                and return in
-
-                <literal>c</literal>
-
-                the sequence of cross covariance lags
-
-                <latex>$C_k,k=-n:n$</latex>
-
-                with
-
-                <literal>n</literal>
-
-                is the maximum of
-
-                <literal>x</literal>
-
-                and
-
-                <literal>y</literal>
-
-                length's.
+                <para>
+                  <latex>${\begin{matrix}C_k = \sum_{i=1}^{n-k}
+                      {(x_{i+k}-\mu_x})*({y_i}-\mu_y)^{*}, k \geq 0
+                      \mu_x=\sum_{i=0}^{n-1}{x_i} \mu_y=\sum_{i=0}^{n-1}{y_i} C_k =
+                      C^{*}_{-k}, k \leq -1\end{matrix}.}$
+                  </latex>
+                </para>
+                and return in <literal>c</literal> the sequence of cross covariance lags
+                C<subscript>k=-n:n</subscript> where <literal>n</literal> is the maximum of
+                <literal>x</literal> and <literal>y</literal> length's.
             </listitem>
         </itemizedlist>
         <para>
             If the <literal>maxlags</literal> argument is given
             <literal>xcov</literal> returns in <literal>c</literal> the sequence of
-            covariance lags <latex>$C_k,k=-maxlags:maxlags$</latex>. If
+            covariance lags C<subscript>k=-maxlags:maxlags</subscript>. If
             <literal>maxlags</literal> is greater than <literal>length(x)</literal>,
             the first and last values of <literal>c</literal> are zero.
         </para>
         <para>
             The <literal>scaling</literal> argument describes how
-            <latex>C(k)</latex> is normalized before being returned in
+            <emphasis>C(k)</emphasis> is normalized before being returned in
             <literal>c</literal>:
             <itemizedlist>
                 <listitem>
-                    <term>"biased"</term>:<literal>c=</literal><latex>$C$</latex><literal>/n</literal>.
+                    <term>"biased"</term>: <literal>c=</literal><emphasis>C</emphasis><literal>/n</literal>.
                 </listitem>
                 <listitem>
-                    <term>"unbiased"</term>:<literal>c=</literal><latex>$C$</latex><literal>./(n-(-maxlags:maxlags))</literal>.
+                    <term>"unbiased"</term>: <literal>c=</literal><emphasis>C</emphasis><literal>./(n-(-maxlags:maxlags))</literal>.
                 </listitem>
                 <listitem>
-                    <term>"coeff"</term>:<literal>c=</literal><latex>$C$</latex><literal>/(norm(x)*norm(y))</literal>.
+                    <term>"coeff"</term>: <literal>c=</literal><emphasis>C</emphasis><literal>/(norm(x)*norm(y))</literal>.
                 </listitem>
             </itemizedlist>
         </para>
     </refsection>
     <refsection>
         <title>Remark</title>
-
-        The
-
-        <link linkend="corr">corr</link>
-
-        function computes the "biased" covariance of
-
-        <literal>x</literal>
-
-        and
-
-        <literal>y</literal>
-
-        and only return in
-
-        <literal>c</literal>
-
-        the sequence of covariance lags
-
-        <latex>$C_k,k \geq 0$</latex>
-
+        The <link linkend="corr">corr</link> function computes the "biased" covariance of
+        <literal>x</literal>  and <literal>y</literal> and only return in <literal>c</literal>
+         the sequence of covariance lags C<subscript>k≥0</subscript>
         .
-    </refsection>
-    <refsection>
-        <refsection>
-            <title>Method</title> This function computes
-            <latex>$C$</latex> using
-            <literal>xcorr(x-mean(x),y-mean(y),...)</literal>.
-        </refsection>
-        <refsection>
-            <title>Examples</title>
-            <programlisting role="example">t = linspace(0, 100, 2000);
-                y = 0.8 * sin(t) + 0.8 * sin(2 * t);
-                [c, ind] = xcov(y, "biased");
-                plot(ind, c)
-            </programlisting>
-            <scilab:image>
-                t = linspace(0, 100, 2000);
-                y = 0.8 * sin(t) + 0.8 * sin(2 * t);
-                [c, ind] = xcov(y, "biased");
-                plot(ind, c)
-            </scilab:image>
-        </refsection>
-        <refsection>
-            <title>See also</title>
-            <simplelist type="inline">
-                <member>
-                    <link linkend="xcorr">xcorr</link>
-                </member>
-                <member>
-                    <link linkend="corr">corr</link>
-                </member>
-                <member>
-                    <link linkend="fft">fft</link>
-                </member>
-            </simplelist>
-        </refsection>
-        <refsection>
-            <title>Authors</title>
-            <simplelist type="vert">
-                <member>Serge Steer, INRIA</member>
-            </simplelist>
-        </refsection>
-        <title>Used Functions</title>
-        <para>
+      </refsection>
+      <refsection>
+        <title>Method</title>
+        This function computes <emphasis>C</emphasis> using
+        <literal>xcorr(x-mean(x),y-mean(y),...)</literal>.
+      </refsection>
+      <refsection>
+        <title>Examples</title>
+        <programlisting role="example">t = linspace(0, 100, 2000);
+          y = 0.8 * sin(t) + 0.8 * sin(2 * t);
+          [c, ind] = xcov(y, "biased");
+          plot(ind, c)
+        </programlisting>
+        <scilab:image>
+          t = linspace(0, 100, 2000);
+          y = 0.8 * sin(t) + 0.8 * sin(2 * t);
+          [c, ind] = xcov(y, "biased");
+          plot(ind, c)
+        </scilab:image>
+      </refsection>
+      <refsection>
+        <title>See also</title>
+        <simplelist type="inline">
+          <member>
             <link linkend="xcorr">xcorr</link>
-        </para>
+          </member>
+          <member>
+            <link linkend="corr">corr</link>
+          </member>
+          <member>
+            <link linkend="fft">fft</link>
+          </member>
+        </simplelist>
     </refsection>
     <refsection>
         <title>History</title>
diff --git a/scilab/modules/signal_processing/help/fr_FR/xcov.xml b/scilab/modules/signal_processing/help/fr_FR/xcov.xml
deleted file mode 100644 (file)
index 51f30cf..0000000
+++ /dev/null
@@ -1,249 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<!--
-This file is part Scilab
-Copyright (C) 2012 - INRIA - Serge Steer
-Copyright (C) 2012 - 2016 - Scilab Enterprises
-
-This file is hereby licensed under the terms of the GNU GPL v2.0,
-pursuant to article 5.3.4 of the CeCILL v.2.1.
-This file was originally licensed under the terms of the CeCILL v2.1,
-and continues to be available under such terms.
-For more information, see the COPYING file which you should have received
-along with this program.
--->
-<refentry xmlns="http://docbook.org/ns/docbook" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:svg="http://www.w3.org/2000/svg" xmlns:ns3="http://www.w3.org/1999/xhtml" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:db="http://docbook.org/ns/docbook" xmlns:scilab="http://www.scilab.org" xml:id="xcov" xml:lang="fr">
-    <refnamediv>
-        <refname>xcov</refname>
-        <refpurpose>Computes discrete auto or cross covariance</refpurpose>
-    </refnamediv>
-    <refsynopsisdiv>
-        <title>Syntax</title>
-        <synopsis>[c [,lagindex]] = xcov(x [,maxlags [,scaling]])
-            [c [,lagindex]] = xcov(x,y [,maxlags [,scaling]])
-        </synopsis>
-    </refsynopsisdiv>
-    <refsection>
-        <title>Parameters</title>
-        <variablelist>
-            <varlistentry>
-                <term>x</term>
-                <listitem>
-                    <para>a vector of real or complex floating point numbers.</para>
-                </listitem>
-            </varlistentry>
-            <varlistentry>
-                <term>y</term>
-                <listitem>
-                    <para>a vector of real or complex floating point numbers. The
-                        default value is <literal>x</literal>.
-                    </para>
-                </listitem>
-            </varlistentry>
-            <varlistentry>
-                <term>maxlags</term>
-                <listitem>
-                    <para>a scalar with integer value greater than 1. The default value
-                        is <literal>n</literal>. Where <literal>n</literal> is the maximum
-                        of the <literal>x</literal> and <literal>y</literal> vector
-                        length.
-                    </para>
-                </listitem>
-            </varlistentry>
-            <varlistentry>
-                <term>scaling</term>
-                <listitem>
-                    <para>a character string with possible value:
-                        <literal>"biased"</literal>, <literal>"unbiased"</literal>,
-                        <literal>"coeff"</literal>, <literal>"none"</literal>. The default
-                        value is <literal>"none"</literal>.
-                    </para>
-                </listitem>
-            </varlistentry>
-            <varlistentry>
-                <term>c</term>
-                <listitem>
-                    <para>a vector of real or complex floating point numbers with same
-                        orientation as <literal>x</literal>.
-                    </para>
-                </listitem>
-            </varlistentry>
-            <varlistentry>
-                <term>lagindex</term>
-                <listitem>
-                    <para>a row vector, containing the lags index corresponding to the
-                        <literal>c</literal> values.
-                    </para>
-                </listitem>
-            </varlistentry>
-        </variablelist>
-    </refsection>
-    <refsection>
-        <title>Description</title>
-        <itemizedlist>
-            <listitem>
-                <literal>c=xcov(x)</literal>
-
-                computes the un-normalized discrete covariance:
-
-                <latex>{\begin{matrix}C_k = \sum_{i=0}^{n-k-1}
-                    {(x_{i+k}-\mu_x})({x_i-\mu_x})^{*} , k \geq 0
-                    \mu_x=\sum_{i=0}^{n-1}{x_i} C_k = C^{*}_{-k}, k \leq
-                    -1\end{matrix}.}$
-                </latex>
-
-                and return in
-
-                <literal>c</literal>
-
-                the sequence of covariance lags
-
-                <latex>$C_k,k=-n:n$</latex>
-
-                with
-
-                <literal>n</literal>
-
-                is the length of
-
-                <literal>x</literal>
-
-
-            </listitem>
-            <listitem>
-                <literal>xcov(x,y)</literal>
-
-                computes the un-normalized discrete cross covariance:
-
-                <latex>${\begin{matrix}C_k = \sum_{i=1}^{n-k}
-                    {(x_{i+k}-\mu_x})*({y_i}-\mu_y)^{*}, k \geq 0
-                    \mu_x=\sum_{i=0}^{n-1}{x_i} \mu_y=\sum_{i=0}^{n-1}{y_i} C_k =
-                    C^{*}_{-k}, k \leq -1\end{matrix}.}$
-                </latex>
-
-                and return in
-
-                <literal>c</literal>
-
-                the sequence of cross covariance lags
-
-                <latex>$C_k,k=-n:n$</latex>
-
-                with
-
-                <literal>n</literal>
-
-                is the maximum of
-
-                <literal>x</literal>
-
-                and
-
-                <literal>y</literal>
-
-                length's.
-            </listitem>
-        </itemizedlist>
-        <para>
-            If the <literal>maxlags</literal> argument is given
-            <literal>xcov</literal> returns in <literal>c</literal> the sequence of
-            covariance lags <latex>$C_k,k=-maxlags:maxlags$</latex>. If
-            <literal>maxlags</literal> is greater than <literal>length(x)</literal>,
-            the first and last values of <literal>c</literal> are zero.
-        </para>
-        <para>
-            The <literal>scaling</literal> argument describes how
-            <latex>C(k)</latex> is normalized before being returned in
-            <literal>c</literal>:
-            <itemizedlist>
-                <listitem>
-                    <term>"biased"</term>:<literal>c=</literal><latex>$C$</latex><literal>/n</literal>.
-                </listitem>
-                <listitem>
-                    <term>"unbiased"</term>:<literal>c=</literal><latex>$C$</latex><literal>./(n-(-maxlags:maxlags))</literal>.
-                </listitem>
-                <listitem>
-                    <term>"coeff"</term>:<literal>c=</literal><latex>$C$</latex><literal>/(norm(x)*norm(y))</literal>.
-                </listitem>
-            </itemizedlist>
-        </para>
-    </refsection>
-    <refsection>
-        <title>Remark</title>
-
-        The
-
-        <link linkend="corr">corr</link>
-
-        function computes the "biased" covariance of
-
-        <literal>x</literal>
-
-        and
-
-        <literal>y</literal>
-
-        and only return in
-
-        <literal>c</literal>
-
-        the sequence of covariance lags
-
-        <latex>$C_k,k \geq 0$</latex>
-
-        .
-    </refsection>
-    <refsection>
-        <refsection>
-            <title>Method</title> This function computes
-            <latex>$C$</latex> using
-            <literal>xcorr(x-mean(x),y-mean(y),...)</literal>.
-        </refsection>
-        <refsection>
-            <title>Examples</title>
-            <programlisting role="example">t = linspace(0, 100, 2000);
-                y = 0.8 * sin(t) + 0.8 * sin(2 * t);
-                [c, ind] = xcov(y, "biased");
-                plot(ind, c)
-            </programlisting>
-            <scilab:image>
-                t = linspace(0, 100, 2000);
-                y = 0.8 * sin(t) + 0.8 * sin(2 * t);
-                [c, ind] = xcov(y, "biased");
-                plot(ind, c)
-            </scilab:image>
-        </refsection>
-        <refsection>
-            <title>See also</title>
-            <simplelist type="inline">
-                <member>
-                    <link linkend="xcorr">xcorr</link>
-                </member>
-                <member>
-                    <link linkend="corr">corr</link>
-                </member>
-                <member>
-                    <link linkend="fft">fft</link>
-                </member>
-            </simplelist>
-        </refsection>
-        <refsection>
-            <title>Authors</title>
-            <simplelist type="vert">
-                <member>Serge Steer, INRIA</member>
-            </simplelist>
-        </refsection>
-        <title>Used Functions</title>
-        <para>
-            <link linkend="xcorr">xcorr</link>
-        </para>
-    </refsection>
-    <refsection>
-        <title>History</title>
-        <revhistory>
-            <revision>
-                <revnumber>5.4.0</revnumber>
-                <revremark>xcov added.</revremark>
-            </revision>
-        </revhistory>
-    </refsection>
-</refentry>
index 3d51b0b..fb24031 100644 (file)
@@ -158,25 +158,17 @@ along with this program.
                 <literal>c=xcorr(x)</literal>
 
                 は,以下のように正規化しない離散自己共分散を計算します:
-
-                <latex>{\begin{matrix}C_k = \sum_{i=1}^{n-k}
-
-                    {x_{i+k}*x^{*}_i}, k \geq 0 \\ C_k = C^{*}_{-k}, k \leq
-
-                    -1\end{matrix}.$
-
-                </latex>
-
+                <para>
+                  <latex>{\begin{matrix}C_k = \sum_{i=1}^{n-k}
+                      {x_{i+k}*x^{*}_i}, k \geq 0 \\ C_k = C^{*}_{-k}, k \leq
+                      -1\end{matrix}.$
+                  </latex>
+                </para>
                 そして,<literal>c</literal> を返します.
-
                 自己共分散の並びは,
-
-                <latex>$C_k,k=-n:n$</latex>
-
+                C<subscript>k=-n:n</subscript>
                 となります.ただし,<literal>n</literal>は,
-
                 <literal>x</literal>の長さです.
-
             </listitem>
 
             <listitem>
@@ -184,38 +176,27 @@ along with this program.
                 <literal>xcorr(x,y)</literal>
 
                 は正規化しない離散相互共分散を以下のように計算します:
-
-                <latex>{\begin{matrix}C_k = \sum_{i=1}^{n-k}
-
-                    {x_{i+k}*y^{*}_i}, k \geq 0 \\ C_k = C^{*}_{-k}, k \leq
-
-                    -1\end{matrix}}.$
-
-                </latex>
-
+                <para>
+                  <latex>{\begin{matrix}C_k = \sum_{i=1}^{n-k}
+                      {x_{i+k}*y^{*}_i}, k \geq 0 \\ C_k = C^{*}_{-k}, k \leq
+                      -1\end{matrix}}.$
+                  </latex>
+                </para>
                 結果を<literal>c</literal>に返します.
-
                 相互共分散の並びは,
-
-                <latex>$C_k,k=-n:n$</latex>となります.
-
+                C<subscript>k=-n:n</subscript>となります.
                 ただし,<literal>n</literal>は,
-
                 <literal>x</literal>および<literal>y</literal>
-
                 の長さの大きい方です.
-
             </listitem>
-
         </itemizedlist>
-
         <para>
 
             <literal>maxlags</literal> 引数が指定された場合,
 
             <literal>xcorr</literal> は <literal>c</literal> を
 
-            返し,共分散の並びは <latex>$C_k,k=-maxlags:maxlags$</latex> と
+            返し,共分散の並びは C<subscript>k=-maxlags:maxlags</subscript> と
 
             なります.
 
@@ -233,25 +214,25 @@ along with this program.
 
             <literal>c</literal>に結果を出力する前に
 
-            <latex>C(k)</latex>を正規化する方法を以下のように指定します:
+            <emphasis>C(k)</emphasis>を正規化する方法を以下のように指定します:
 
             <itemizedlist>
 
                 <listitem>
 
-                    <term>"biased"</term>:<literal>c=</literal><latex>$C$</latex><literal>/n</literal>.
+                    <term>"biased"</term>: <literal>c=</literal><emphasis>C</emphasis><literal>/n</literal>.
 
                 </listitem>
 
                 <listitem>
 
-                    <term>"unbiased"</term>:<literal>c=</literal><latex>$C$</latex><literal>./(n-(-maxlags:maxlags))</literal>.
+                    <term>"unbiased"</term>: <literal>c=</literal><emphasis>C</emphasis><literal>./(n-(-maxlags:maxlags))</literal>.
 
                 </listitem>
 
                 <listitem>
 
-                    <term>"coeff"</term>:<literal>c=</literal><latex>$C$</latex><literal>/(norm(x)*norm(y))</literal>.
+                    <term>"coeff"</term>: <literal>c=</literal><emphasis>C</emphasis><literal>/(norm(x)*norm(y))</literal>.
 
                 </listitem>
 
@@ -273,7 +254,7 @@ along with this program.
 
         <literal>c</literal>のみを返します.
 
-        自己共分散の並びは,<latex>$C_k,k \geq 0$</latex>となります.
+        自己共分散の並びは,C<subscript>k≥0</subscript>となります.
 
     </refsection>
 
@@ -287,7 +268,7 @@ along with this program.
 
             <literal>ifft(fft(x).*conj(fft(y)))</literal>により
 
-            <latex>$C$</latex>を計算します.
+            <emphasis>C</emphasis>を計算します.
 
         </refsection>
 
@@ -347,27 +328,6 @@ along with this program.
 
         </refsection>
 
-        <refsection>
-
-            <title>作者</title>
-
-            <simplelist type="vert">
-
-                <member>Serge Steer, INRIA</member>
-
-            </simplelist>
-
-        </refsection>
-
-        <title>使用される関数</title>
-
-        <para>
-
-            <link linkend="fft">fft</link>
-
-        </para>
-
-    </refsection>
 
     <refsection>
 
index 74e298c..dccdbe6 100644 (file)
                 パラメータ値<literal>option</literal>で指定したシフト量を用いて
                 順方向または逆方向の1次元またはN次元離散コサイン変換を
                 行います.
-                長さ<latex scilab:localized="true">$n$</latex>の1次元配列<latex scilab:localized="true">$A$</latex>の場合:
+                長さ<emphasis>n</emphasis>の1次元配列<emphasis>A</emphasis>の場合:
             </para>
             <itemizedlist>
                 <listitem>
                 なります.
             </para>
             <para>
-                次元が      <latex>$n_1, n_2, \ldots, n_p$</latex>の
+                次元が<emphasis>n<subscript>1</subscript>,
+                n<subscript>2</subscript>, …, n<subscript>p</subscript></emphasis>の
                 配列<literal>A</literal>の正規化された多次元DCT変換
                 は以下のように計算されます
             </para>
                 </latex>
             </para>
             <para>
-                次元が<latex>$n_1, n_2, \ldots, n_p$</latex>の
+                次元が<emphasis>n<subscript>1</subscript>,
+                n<subscript>2</subscript>, …, n<subscript>p</subscript></emphasis>の
                 配列<literal>A</literal>の正規化された多次元DCT逆変換
                 は以下のように計算されます
             </para>
index 50030dd..a007e5d 100644 (file)
                     <para>
                         <literal>"dst1"</literal>の場合, この関数は
                         正規化しないDST-I変換を計算します.
-                        長さ<latex>$n$</latex> のベクトルの1次元変換は以下のようになります:
+                        長さ<emphasis>n</emphasis> のベクトルの1次元変換は以下のようになります:
                     </para>
                     <para>
                         <latex>
                     <para>
                         <literal>"dst2"</literal>の場合, この関数は
                         正規化しないDST-II変換を計算します.
-                        長さ<latex>$n$</latex> のベクトルの1次元変換は以下のようになります:
+                        長さ<emphasis>n</emphasis> のベクトルの1次元変換は以下のようになります:
                     </para>
                     <para>
                         <latex>
                     <para>
                         <literal>"dst3"</literal>の場合, この関数は
                         正規化しないDST-III変換を計算します.
-                        長さ<latex>$n$</latex> のベクトルの1次元変換は以下のようになります:
+                        長さ<emphasis>n</emphasis> のベクトルの1次元変換は以下のようになります:
                     </para>
                     <para>
                         <latex>
                     <para>
                         <literal>"dst4"</literal>の場合, この関数は
                         正規化しないDST-IV変換を計算します.
-                        長さ<latex>$n$</latex> のベクトルの1次元変換は以下のようになります:
+                        長さ<emphasis>n</emphasis> のベクトルの1次元変換は以下のようになります:
                     </para>
                     <para>
                         <latex>
                     <para>
                         <literal>"dst"</literal>の場合, この関数は
                         正規化されたDST-I変換を計算します.
-                        長さ<latex>$n$</latex> のベクトルの1次元変換は以下のようになります:
+                        長さ<emphasis>n</emphasis> のベクトルの1次元変換は以下のようになります:
                     </para>
                     <para>
                         <latex>
                     <para>
                         <literal>"idst"</literal>の場合, この関数は
                         正規化されたDST-I変換を計算します.
-                        長さ<latex>$n$</latex> のベクトルの1次元変換は以下のようになります:
+                        長さ<emphasis>n</emphasis> のベクトルの1次元変換は以下のようになります:
                     </para>
                     <para>
                         <latex>
index 8a71076..9aecb19 100644 (file)
@@ -160,102 +160,65 @@ along with this program.
                 <literal>c=xcov(x)</literal>
 
                 は,以下の正規化しない離散共分散を計算します:
-
-                <latex>{\begin{matrix}C_k = \sum_{i=0}^{n-k-1}
-
-                    {(x_{i+k}-\mu_x})({x_i-\mu_x})^{*} , k \geq 0
-
-                    \mu_x=\sum_{i=0}^{n-1}{x_i} C_k = C^{*}_{-k}, k \leq
-
-                    -1\end{matrix}.}$
-
-                </latex>
-
+                <para>
+                  <latex>{\begin{matrix}C_k = \sum_{i=0}^{n-k-1}
+                      {(x_{i+k}-\mu_x})({x_i-\mu_x})^{*} , k \geq 0
+                      \mu_x=\sum_{i=0}^{n-1}{x_i} C_k = C^{*}_{-k}, k \leq
+                      -1\end{matrix}.}$
+                  </latex>
+                </para>
                 そして,<literal>c</literal>を返します.
-
-                共分散の並びは, <latex>$C_k,k=-n:n$</latex>
-
+              共分散の並びは, C<subscript>k=-n:n</subscript>
                 となります. ただし,<literal>n</literal> は
-
                 <literal>x</literal>の長さです.
-
             </listitem>
-
             <listitem>
-
                 <literal>xcov(x,y)</literal>
-
                 は,以下のように正規化しない離散相互共分散を計算します:
-
-                <latex>${\begin{matrix}C_k = \sum_{i=1}^{n-k}
-
-                    {(x_{i+k}-\mu_x})*({y_i}-\mu_y)^{*}, k \geq 0
-
-                    \mu_x=\sum_{i=0}^{n-1}{x_i} \mu_y=\sum_{i=0}^{n-1}{y_i} C_k =
-
-                    C^{*}_{-k}, k \leq -1\end{matrix}.}$
-
-                </latex>
-
+                 <para>
+                    <latex>${\begin{matrix}C_k = \sum_{i=1}^{n-k}
+                        {(x_{i+k}-\mu_x})*({y_i}-\mu_y)^{*}, k \geq 0
+                        \mu_x=\sum_{i=0}^{n-1}{x_i} \mu_y=\sum_{i=0}^{n-1}{y_i} C_k =
+                        C^{*}_{-k}, k \leq -1\end{matrix}.}$
+                    </latex>
+                </para>
                 結果を<literal>c</literal>に返します.
-
-                相互共分散の並びは,
-
-                <latex>$C_k,k=-n:n$</latex>
-
-                となります.ただし,<literal>n</literal>は
-
+                相互共分散の並びは, C<subscript>k=-n:n</subscript> となります.ただし,<literal>n</literal>は
                 <literal>x</literal>および<literal>y</literal>
-
                 の長さの大きい方です.
-
             </listitem>
-
         </itemizedlist>
-
         <para>
-
             <literal>maxlags</literal> 引数が指定された場合,
-
             <literal>xcov</literal> は <literal>c</literal> を
-
-            返し,共分散の並びは <latex>$C_k,k=-maxlags:maxlags$</latex> と
-
+            返し,共分散の並びは C<subscript>k=-maxlags:maxlags</subscript> と
             なります.
-
             <literal>maxlags</literal> が <literal>length(x)</literal>よりも
-
             大きい場合, <literal>c</literal>の先頭と末尾の複数の値は
-
             ゼロになります.
-
         </para>
-
         <para>
-
             <literal>scaling</literal> 引数は,
-
             <literal>c</literal>に結果を出力する前に
-
-            <latex>C(k)</latex>を正規化する方法を以下のように指定します:
+            <emphasis>C(k)</emphasis>を正規化する方法を以下のように指定します:
 
             <itemizedlist>
 
                 <listitem>
 
-                    <term>"biased"</term>:<literal>c=</literal><latex>$C$</latex><literal>/n</literal>.
+                    <term>"biased"</term>: <literal>c=</literal><emphasis>C</emphasis><literal>/n</literal>.
 
                 </listitem>
 
                 <listitem>
 
-                    <term>"unbiased"</term>:<literal>c=</literal><latex>$C$</latex><literal>./(n-(-maxlags:maxlags))</literal>.
+                    <term>"unbiased"</term>: <literal>c=</literal><emphasis>C</emphasis><literal>./(n-(-maxlags:maxlags))</literal>.
 
                 </listitem>
 
                 <listitem>
 
-                    <term>"coeff"</term>:<literal>c=</literal><latex>$C$</latex><literal>/(norm(x)*norm(y))</literal>.
+                    <term>"coeff"</term>: <literal>c=</literal><emphasis>C</emphasis><literal>/(norm(x)*norm(y))</literal>.
 
                 </listitem>
 
@@ -277,99 +240,75 @@ along with this program.
 
         <literal>c</literal>のみを返します.
 
-        共分散の並びは,<latex>$C_k,k \geq 0$</latex>となります.
+        共分散の並びは,C<subscript>k≥0</subscript>となります.
 
     </refsection>
 
-    <refsection>
-
-        <refsection>
-
-            <title>手法</title>
+      <refsection>
 
-            この関数は,
+        <title>手法</title>
 
-            <literal>xcorr(x-mean(x),y-mean(y),...)</literal>により
+        この関数は,
 
-            <latex>$C$</latex>を計算します.
+        <literal>xcorr(x-mean(x),y-mean(y),...)</literal>により
 
-        </refsection>
+        <emphasis>C</emphasis>を計算します.
 
-        <refsection>
+      </refsection>
 
-            <title>例</title>
+      <refsection>
 
-            <programlisting role="example">t = linspace(0, 100, 2000);
+        <title>例</title>
 
-                y = 0.8 * sin(t) + 0.8 * sin(2 * t);
+        <programlisting role="example">t = linspace(0, 100, 2000);
 
-                [c, ind] = xcov(y, "biased");
+          y = 0.8 * sin(t) + 0.8 * sin(2 * t);
 
-                plot(ind, c)
+          [c, ind] = xcov(y, "biased");
 
-            </programlisting>
+          plot(ind, c)
 
-            <scilab:image>
+        </programlisting>
 
-                t = linspace(0, 100, 2000);
+        <scilab:image>
 
-                y = 0.8 * sin(t) + 0.8 * sin(2 * t);
+          t = linspace(0, 100, 2000);
 
-                [c, ind] = xcov(y, "biased");
+          y = 0.8 * sin(t) + 0.8 * sin(2 * t);
 
-                plot(ind, c)
+          [c, ind] = xcov(y, "biased");
 
-            </scilab:image>
+          plot(ind, c)
 
-        </refsection>
+        </scilab:image>
 
-        <refsection>
+      </refsection>
 
-            <title>参照</title>
-
-            <simplelist type="inline">
-
-                <member>
-
-                    <link linkend="xcorr">xcorr</link>
-
-                </member>
-
-                <member>
-
-                    <link linkend="corr">corr</link>
-
-                </member>
-
-                <member>
-
-                    <link linkend="fft">fft</link>
-
-                </member>
+    <refsection>
 
-            </simplelist>
+      <title>参照</title>
 
-        </refsection>
+      <simplelist type="inline">
 
-        <refsection>
+        <member>
 
-            <title>作者</title>
+          <link linkend="xcorr">xcorr</link>
 
-            <simplelist type="vert">
+        </member>
 
-                <member>Serge Steer, INRIA</member>
+        <member>
 
-            </simplelist>
+          <link linkend="corr">corr</link>
 
-        </refsection>
+        </member>
 
-        <title>使用される関数</title>
+        <member>
 
-        <para>
+          <link linkend="fft">fft</link>
 
-            <link linkend="xcorr">xcorr</link>
+        </member>
 
-        </para>
+      </simplelist>
 
     </refsection>