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<?xml version="1.0" encoding="UTF-8"?>
<!--
*
* This help file was generated from cell2sos.sci using help_from_sci().
*
-->
<refentry version="5.0-subset Scilab" xml:id="cell2sos" 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>cell2sos</refname>
<refpurpose>Converts a cell array to a second order section matrix</refpurpose>
</refnamediv>
<refsection>
<title>Parameters</title>
<variablelist>
</variablelist>
</refsection>
<refsection>
<title>Description</title>
<para>
s=cell2sos(c) converts a a cell array c = { {B1},{A1}, {B2},{A2}, ... {BL},{AL}}
to an L-by-6 second-order-section matrix s given by:
s = [B1 A1
B2 A2
...
BL AL]
numerator vector Bi and denominator vector Ai contains the coefficients of a
linear or quadratic polynomial. If the polynomial is linear, the coefficients
zero-padded on the right.
[s,g]=cell2sos(c) estimates the gain from the leading term of the cell array
c={ {[g1,g2]},{B1},{A1}, {B2},{A2}, ... {BL},{AL}} to give g=g1/g2 as the gain
Example
c=cell(1,5);
</para>
<para>
c(1,1).entries=[2, 1];
</para>
<para>
c(1,2).entries=rand(1,3);
</para>
<para>
c(1,3).entries=rand(1,3);
</para>
<para>
c(1,4).entries=rand(1,3);
</para>
<para>
c(1,5).entries=rand(1,3);
</para>
<para>
c =
column 1 to 3
</para>
<para>
![2,1] [0.2113249,0.7560439,0.0002211] [0.3303271,0.6653811,0.6283918] !
</para>
<para>
column 4 to 5
</para>
<para>
![0.8497452,0.6857310,0.8782165] [0.0683740,0.5608486,0.6623569] !
[s,g]=cell2sos(c);
s =
</para>
<para>
column 1 to 5
</para>
<para>
0.2113249 0.7560439 0.0002211 0.3303271 0.6653811
0.8497452 0.6857310 0.8782165 0.0683740 0.5608486
</para>
<para>
column 6
</para>
<para>
0.6283918
0.6623569
</para>
<para>
g =
</para>
<para>
2.
Author
Ankur Mallick
</para>
</refsection>
</refentry>
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