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    <span class="path"><a href="index.html">FOSSEE Signal Processing Toolbox</a> &gt;&gt; <a href="section_e54aa8aac34aa55341e8b4b782fe1a74.html">FOSSEE Signal Processing Toolbox</a> &gt; sos2cell</span>

    <br /><br />
    <div class="refnamediv"><h1 class="refname">sos2cell</h1>
    <p class="refpurpose">Converts a second order section matrix to a cell array</p></div>


<div class="refsection"><h3 class="title">Parameters</h3>
   <dl></dl></div>

<div class="refsection"><h3 class="title">Description</h3>
   <p class="para">c=sos2cell(s) converts an L-by-6 second-order-section matrix s given by:
s =   [B1 A1
B2 A2
...
BL AL]
to a cell array c = { {B1},{A1}, {B2},{A2}, ... {BL},{AL}} where each
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
c=sos2cell(s,g) adds a leading gain term to the start of the cell array as:
c={ {[g,1]},{B1},{A1}, {B2},{A2}, ... {BL},{AL}}
Example
s=rand(2,6)
s  =</p>
   <p class="para"></p>
   <p class="para">column 1 to 5</p>
   <p class="para">0.0437334    0.2639556    0.2806498    0.7783129    0.1121355
0.4818509    0.4148104    0.1280058    0.2119030    0.6856896</p>
   <p class="para">column 6</p>
   <p class="para">0.1531217
0.6970851</p>
   <p class="para">sos2cell(s,2)
ans  =</p>
   <p class="para"></p>
   <p class="para"></p>
   <p class="para">column 1 to 3</p>
   <p class="para">![2,1]  [0.0437334,0.2639556,0.2806498]  [0.7783129,0.1121355,0.1531217]  !</p>
   <p class="para">column 4 to 5</p>
   <p class="para">![0.4818509,0.4148104,0.1280058]  [0.2119030,0.6856896,0.6970851]  !
Author
Ankur Mallick</p></div>
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