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<?xml version="1.0" encoding="UTF-8"?>
<!--
*
* This help file was generated from iscatastrophic.sci using help_from_sci().
*
-->
<refentry version="5.0-subset Scilab" xml:id="iscatastrophic" 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>iscatastrophic</refname>
<refpurpose>This function determines if a convolutional code is catastrophic or not</refpurpose>
</refnamediv>
<refsection>
<title>Description</title>
<para>
RESULT = ISCATASTROPHIC(TRELLIS) returns 1 if the specified
trellis corresponds to a catastrophic convolutional code, else 0.
</para>
</refsection>
<refsection>
<title>Examples</title>
<programlisting role="example"><![CDATA[
eg_1.numInputSymbols = 4;
eg_1.numOutputSymbols = 4;
eg_1.numStates = 3;
eg_1.nextStates = [0 1 2 1;0 1 2 1; 0 1 2 1];
eg_1.outputs = [0 0 1 1;1 1 2 1; 1 0 1 1];
res_t_eg_1=istrellis(eg_1)
res_c_eg_1=iscatastrophic(eg_1)
if (res_c_eg_1) then
disp('Example 1 is catastrophic')
else
disp('Example 1 is not catastrophic')
end
eg_2.numInputSymbols = 2;
eg_2.numOutputSymbols = 4;
eg_2.numStates = 2;
eg_2.nextStates = [0 0; 1 1 ]
eg_2.outputs = [0 0; 1 1];
res_t_eg_2=istrellis(eg_2)
res_c_eg_2=iscatastrophic(eg_2)
if (res_c_eg_2) then
disp('Example 2 is catastrophic')
else
disp('Example 2 is not catastrophic')
end
]]></programlisting>
</refsection>
<refsection>
<title>Authors</title>
<simplelist type="vert">
<member>Pola Lakshmi Priyanka, IIT Bombay</member>
</simplelist>
</refsection>
</refentry>
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