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author | bgtushar | 2017-11-30 20:31:42 +0530 |
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committer | bgtushar | 2017-11-30 20:31:42 +0530 |
commit | f6ef6a0238d4a028e65a0a7f1f1d39ff7979dec2 (patch) | |
tree | 9d5f3f6632568deb6f285acebd9990f4eb02171a /help/en_US/scilab_en_US_help/arburg.html | |
parent | bde72bceca94ce47e8c65886878947cf3c2445cb (diff) | |
parent | 99b498fb0cedd8560d18f032a4cb1fcae0c1fadb (diff) | |
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diff --git a/help/en_US/scilab_en_US_help/arburg.html b/help/en_US/scilab_en_US_help/arburg.html new file mode 100644 index 0000000..f080ef4 --- /dev/null +++ b/help/en_US/scilab_en_US_help/arburg.html @@ -0,0 +1,90 @@ +<html><head> + <meta http-equiv="Content-Type" content="text/html; charset=utf-8"> + <title>arburg</title> + <style type="text/css" media="all"> + @import url("scilab_code.css"); + @import url("xml_code.css"); + @import url("c_code.css"); + @import url("style.css"); + </style> + </head> + <body> + <div class="manualnavbar"> + <table width="100%"><tr> + <td width="30%"> + <span class="previous"><a href="ar_psd.html"><< ar_psd</a></span> + + </td> + <td width="40%" class="center"> + <span class="top"><a href="section_cc2bc01c47967d47fcf3507a91d572ba.html">FOSSEE Signal Processing Toolbox</a></span> + + </td> + <td width="30%" class="next"> + <span class="next"><a href="arch_fit.html">arch_fit >></a></span> + + </td> + </tr></table> + <hr /> + </div> + + + + <span class="path"><a href="index.html">FOSSEE Signal Processing Toolbox</a> >> <a href="section_cc2bc01c47967d47fcf3507a91d572ba.html">FOSSEE Signal Processing Toolbox</a> > arburg</span> + + <br /><br /> + <div class="refnamediv"><h1 class="refname">arburg</h1> + <p class="refpurpose">This function calculates coefficients of an autoregressive (AR) model of complex data.</p></div> + + +<div class="refsynopsisdiv"><h3 class="title">Calling Sequence</h3> + <div class="synopsis"><pre><span class="default">a</span><span class="default"> = </span><span class="functionid">arburg</span><span class="default">(</span><span class="default">x</span><span class="default">, </span><span class="default">poles</span><span class="default">)</span> +<span class="default">a</span><span class="default"> = </span><span class="functionid">arburg</span><span class="default">(</span><span class="default">x</span><span class="default">, </span><span class="default">poles</span><span class="default">, </span><span class="default">criterion</span><span class="default">)</span> +<span class="default">[</span><span class="default">a</span><span class="default">, </span><span class="default">v</span><span class="default">] = </span><span class="functionid">arburg</span><span class="default">(...)</span> +<span class="default">[</span><span class="default">a</span><span class="default">, </span><span class="default">v</span><span class="default">, </span><span class="default">k</span><span class="default">] = </span><span class="functionid">arburg</span><span class="default">(...)</span></pre></div></div> + +<div class="refsection"><h3 class="title">Parameters</h3> + <dl><dt><span class="term">x:</span> + <dd><p class="para">vector of real or complex numbers, of length > 2</p></dd></dt> + <dt><span class="term">poles:</span> + <dd><p class="para">positive integer value < length(x) - 2</p></dd></dt> + <dt><span class="term">criterion:</span> + <dd><p class="para">string value, takes in "AKICc", "KIC", "AICc", "AIC" and "FPE", default it not using a model-selection criterion</p></dd></dt> + <dt><span class="term">a, v, k:</span> + <dd><p class="para">Output variables</p></dd></dt></dl></div> + +<div class="refsection"><h3 class="title">Description</h3> + <p class="para">This is an Octave function.</p> + <p class="para">This function calculates coefficients of an autoregressive (AR) model of complex data x using the whitening lattice-filter method of Burg.</p> + <p class="para">The first argument is the data sampled. The second argument is the number of poles in the model (or limit in case a criterion is supplied). +The third parameter takes in the criterion to limit the number of poles. The acceptable values are "AIC", "AKICc", "KIC", "AICc" which are based on information theory. +Output variable a is a list of P+1 autoregression coefficients. +Output variable v is the mean square of residual noise from the whitening operation of the Burg lattice filter. +Output variable k corresponds to the reflection coefficients defining the lattice-filter embodiment of the model.</p></div> + +<div class="refsection"><h3 class="title">Examples</h3> + <div class="programlisting"><table border="0" width="100%"><tr><td width="98%"><pre class="scilabcode"><span class="scilabid">arburg</span><span class="scilabopenclose">(</span><span class="scilabopenclose">[</span><span class="scilabnumber">1</span><span class="scilabdefault">,</span><span class="scilabnumber">2</span><span class="scilabdefault">,</span><span class="scilabnumber">3</span><span class="scilabdefault">,</span><span class="scilabnumber">4</span><span class="scilabdefault">,</span><span class="scilabnumber">5</span><span class="scilabopenclose">]</span><span class="scilabdefault">,</span><span class="scilabnumber">2</span><span class="scilabopenclose">)</span> +<span class="scilabid">ans</span> <span class="scilaboperator">=</span> +<span class="scilabnumber">1.00000</span> <span class="scilaboperator">-</span><span class="scilabnumber">1.86391</span> <span class="scilabnumber">0.95710</span></pre></td><td valign="top"><a href="scilab://scilab.execexample/"><img src="ScilabExecute.png" border="0"/></a></td><td valign="top"><a href="scilab://scilab.editexample/"><img src="ScilabEdit.png" border="0"/></a></td><td></td></tr></table></div></div> + <br /> + + <div class="manualnavbar"> + <table width="100%"> + <tr><td colspan="3" class="next"><a href="http://bugzilla.scilab.org/enter_bug.cgi?product=Scilab%20software&component=Documentation%20pages" class="ulink">Report an issue</a></td></tr> +<tr> + <td width="30%"> + <span class="previous"><a href="ar_psd.html"><< ar_psd</a></span> + + </td> + <td width="40%" class="center"> + <span class="top"><a href="section_cc2bc01c47967d47fcf3507a91d572ba.html">FOSSEE Signal Processing Toolbox</a></span> + + </td> + <td width="30%" class="next"> + <span class="next"><a href="arch_fit.html">arch_fit >></a></span> + + </td> + </tr></table> + <hr /> + </div> + </body> +</html> |