1 <?xml version="1.0" encoding="UTF-8"?>
2 <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" version="5.0-subset Scilab" xml:lang="en" xml:id="mese">
4 <refname>mese</refname>
5 <refpurpose> maximum entropy spectral estimation</refpurpose>
8 <title>Calling Sequence</title>
9 <synopsis>[sm,fr]=mese(x [,npts]);</synopsis>
12 <title>Arguments</title>
17 <para>Input sampled data sequence</para>
24 Optional parameter giving number of points of <literal>fr</literal> and <literal>sm</literal> (default is 256)
32 Samples of spectral estimate on the frequency grid <literal>fr</literal>
40 npts equally spaced frequency samples in <literal>[0,.5)</literal>
47 <title>Description</title>
49 Calculate the maximum entropy spectral estimate of <literal>x</literal>
58 x2 = sin(3.5*%pi*y/20);
59 w = .4*(rand(y)-.5*ones(y));
62 function [xm,fr] = bt(x)
64 [xf,fr] = frmag(x,256)
65 xm = xf.*conj(xf)/xsize
79 <title>Examples</title>
80 <programlisting role="example"><![CDATA[
84 x2 = sin(3.5*%pi*y/20);
85 w = .4*(rand(y)-.5*ones(y));
88 // Define macro which computes the
89 // Blackman-Tukey periodogram
90 function [xm,fr] = bt(x)
92 [xf,fr] = frmag(x,256)
93 xm = xf.*conj(xf)/xsize