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<?xml version="1.0" encoding="UTF-8"?>
<!--
*
* This help file was generated from impzlength.sci using help_from_sci().
*
-->
<refentry version="5.0-subset Scilab" xml:id="impzlength" 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>impzlength</refname>
<refpurpose>Impulse response length</refpurpose>
</refnamediv>
<refsynopsisdiv>
<title>Calling Sequence</title>
<synopsis>
len = impzlength(b, a, tol)
returns the impulse response length for the causal discrete-time filter
with the transfer function coefficients for numerator and denominator in
b and a respectively. For stable IIR filters, len is the effective length
impulse response length, i.e. the length after which the response is
essentially zero
len = impzlength(sos)
returns the impulse response length of the filter specified by second
order sections matrix. sos is a Kx6 matrix, where K is the number of
sections. Each row of the sos matrix corresponds to a second order
biquad filter
len = impzlength(__, tol)
specifies a tolerance for estimating the effective impulse response
length in case of an IIR filter. By default, tol is 5e-5. Increasing tol
leads to shorter len and vice-versa
</synopsis>
</refsynopsisdiv>
<refsection>
<title>Parameters</title>
<variablelist>
</variablelist>
</refsection>
<refsection>
<title>Examples</title>
<programlisting role="example"><![CDATA[
1) Low pass IIR filter with pole at 0.9
b = 1;
a = [1 -0.9];
len = impzlength(b,a)
OUTPUT :
len=93
2) High pass IIR filter with pole at -0.5
b = 1;
a = [1 0.5];
len = impzlength(b,a)
OUTPUT :
len=14
]]></programlisting>
</refsection>
</refentry>
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