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<html><head> <meta HTTP-EQUIV="Content-Type" CONTENT="text/html;charset=ISO-8859-1"> <title>Contents.m</title><link rel="stylesheet" type="text/css" href="../stpr.css"></head><body><table border=0 width="100%" cellpadding=0 cellspacing=0><tr valign="baseline"><td valign="baseline" class="function"><b class="function">GSAMP</b><td valign="baseline" align="right" class="function"><a href="../probab/index.html" target="mdsdir"><img border = 0 src="../up.gif"></a></table> <p><b>Generates sample from Gaussian distribution.</b></p> <hr><div class='code'><code><span class=help> </span><br><span class=help> <span class=help_field>Synopsis:</span></span><br><span class=help> X = gsamp( Mean, Cov, num_data )</span><br><span class=help> X = gsamp( model, num_data )</span><br><span class=help></span><br><span class=help> <span class=help_field>Description:</span></span><br><span class=help> X = gsamp(Mean,Cov,num_data) generates num_data samples from </span><br><span class=help> a multi-variate Gassian distribution given by mean vector </span><br><span class=help> Mean [dim x 1] and covariance matrix Cov [dim x dim]. </span><br><span class=help></span><br><span class=help> X = gsamp(model,num_data) assumes that parameters of Gaussian</span><br><span class=help> are given in structure with fields model.Mean a model.Cov.</span><br><span class=help> </span><br><span class=help> <span class=help_field>Example:</span></span><br><span class=help> model = struct('Mean',1,'Cov',2);</span><br><span class=help> figure; hold on;</span><br><span class=help> plot([-4:0.1:5],pdfgauss([-4:0.1:5],model),'r');</span><br><span class=help> [Y,X] = hist(gsamp(model,500),10);</span><br><span class=help> bar(X,Y/500);</span><br><span class=help></span><br><span class=help> <span class=also_field>See also </span><span class=also></span><br><span class=help><span class=also> <a href = "../probab/pdfgauss.html" target="mdsbody">PDFGAUSS</a>, <a href = "../probab/gmmsamp.html" target="mdsbody">GMMSAMP</a>.</span><br></code></div> <hr> <b>Source:</b> <a href= "../probab/list/gsamp.html">gsamp.m</a> <p><b class="info_field">About: </b> Statistical Pattern Recognition Toolbox<br> (C) 1999-2003, Written by Vojtech Franc and Vaclav Hlavac<br> <a href="http://www.cvut.cz">Czech Technical University Prague</a><br> <a href="http://www.feld.cvut.cz">Faculty of Electrical Engineering</a><br> <a href="http://cmp.felk.cvut.cz">Center for Machine Perception</a><br> <p><b class="info_field">Modifications: </b> <br> 28-apr-2004, VF, adopted from P.Krizek <br></body></html>?? 快捷鍵說(shuō)明
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