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<span class="path"><a href="index.html">FOSSEE Signal Processing Toolbox</a> >> <a href="section_e54aa8aac34aa55341e8b4b782fe1a74.html">FOSSEE Signal Processing Toolbox</a> > cell2sos</span>
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<div class="refnamediv"><h1 class="refname">cell2sos</h1>
<p class="refpurpose">Converts a cell array to a second order section matrix</p></div>
<div class="refsection"><h3 class="title">Parameters</h3>
<dl></dl></div>
<div class="refsection"><h3 class="title">Description</h3>
<p class="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);</p>
<p class="para">c(1,1).entries=[2, 1];</p>
<p class="para">c(1,2).entries=rand(1,3);</p>
<p class="para">c(1,3).entries=rand(1,3);</p>
<p class="para">c(1,4).entries=rand(1,3);</p>
<p class="para">c(1,5).entries=rand(1,3);</p>
<p class="para">c =
column 1 to 3</p>
<p class="para">![2,1] [0.2113249,0.7560439,0.0002211] [0.3303271,0.6653811,0.6283918] !</p>
<p class="para">column 4 to 5</p>
<p class="para">![0.8497452,0.6857310,0.8782165] [0.0683740,0.5608486,0.6623569] !
[s,g]=cell2sos(c);
s =</p>
<p class="para">column 1 to 5</p>
<p class="para">0.2113249 0.7560439 0.0002211 0.3303271 0.6653811
0.8497452 0.6857310 0.8782165 0.0683740 0.5608486</p>
<p class="para">column 6</p>
<p class="para">0.6283918
0.6623569</p>
<p class="para">g =</p>
<p class="para">2.
Author
Ankur Mallick</p></div>
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