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<?xml version="1.0" encoding="UTF-8"?>
<!--
*
* This help file was generated from poly2ac.sci using help_from_sci().
*
-->
<refentry version="5.0-subset Scilab" xml:id="poly2ac" xml:lang="en"
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:scilab="http://www.scilab.org"
xmlns:db="http://docbook.org/ns/docbook">
<refnamediv>
<refname>poly2ac</refname>
<refpurpose>Convert prediction polynomial to autocorrelation sequence.</refpurpose>
</refnamediv>
<refsynopsisdiv>
<title>Calling Sequence</title>
<synopsis>
R = poly2ac(a,efinal)
</synopsis>
</refsynopsisdiv>
<refsection>
<title>Parameters</title>
<variablelist>
<varlistentry><term>a:</term>
<listitem><para> input prediction polynomial with 1st element 1 (if not, poly2ac normalizes it to 1 before proceeding).</para></listitem></varlistentry>
<varlistentry><term>efinal:</term>
<listitem><para> input prediction error</para></listitem></varlistentry>
<varlistentry><term>r:</term>
<listitem><para> output autocorrelation sequence</para></listitem></varlistentry>
</variablelist>
</refsection>
<refsection>
<title>Description</title>
<para>
This function obtains the underlying autocorrelation sequence that would best fit a linear prediction filter described by the
denominator polynomial and the numerator scaling. The filter is H(z) = efinal/(a(1) + a(2) x z a(3) x z^2 ... a(n) x z^n-1)
</para>
<para>
</para>
</refsection>
<refsection>
<title>Examples</title>
<programlisting role="example"><![CDATA[
a = [1.0000 0.4288 0.76 0.0404 -0.02];
efinal = 0.2; // Step prediction error
r = poly2ac(a,efinal) // Autocorrelation sequence
]]></programlisting>
</refsection>
<refsection>
<title>See also</title>
<simplelist type="inline">
<member><link linkend="ac2poly">ac2poly</link></member>
<member><link linkend="poly2rc">poly2rc</link></member>
<member><link linkend="rc2poly">rc2poly</link></member>
<member><link linkend="rc2ac">rc2ac</link></member>
<member><link linkend="ac2rc">ac2rc</link></member>
<member><link linkend="Author:">Parthe Pandit</link></member>
</simplelist>
</refsection>
<refsection>
<title>Bibliography</title>
<para>S. Kay, Modern Spectral Estimation, Prentice Hall, N.J., 1987, Chapter 6.</para>
</refsection>
</refentry>
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