📄 lpc.html
字号:
<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/REC-html40/loose.dtd"><html><head> <title>Description of lpc</title> <meta name="keywords" content="lpc"> <meta name="description" content="LPC Linear prediction coefficients"> <meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1"> <meta name="generator" content="m2html © 2003 Guillaume Flandin"> <meta name="robots" content="index, follow"> <link type="text/css" rel="stylesheet" href="../m2html.css"></head><body><a name="_top"></a><div><a href="../index.html">Home</a> > <a href="index.html">tsa</a> > lpc.m</div><!--<table width="100%"><tr><td align="left"><a href="../index.html"><img alt="<" border="0" src="../left.png"> Master index</a></td><td align="right"><a href="index.html">Index for tsa <img alt=">" border="0" src="../right.png"></a></td></tr></table>--><h1>lpc</h1><h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="box"><strong>LPC Linear prediction coefficients</strong></div><h2><a name="_synopsis"></a>SYNOPSIS <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="box"><strong>function [A] = lpc(Y,P,mode); </strong></div><h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="fragment"><pre class="comment"> LPC Linear prediction coefficients The Burg-method is used to estimate the prediction coefficients A = lpc(Y [,P]) finds the coefficients A=[ 1 A(2) ... A(N+1) ], of an Pth order forward linear predictor Xp(n) = -A(2)*X(n-1) - A(3)*X(n-2) - ... - A(N+1)*X(n-P) such that the sum of the squares of the errors err(n) = X(n) - Xp(n) is minimized. X can be a vector or a matrix. If X is a matrix containing a separate signal in each column, LPC returns a model estimate for each column in the rows of A. N specifies the order of the polynomial A(z). If you do not specify a value for P, LPC uses a default P = length(X)-1. see also <a href="acovf.html" class="code" title="function [ACF,NN] = acovf(Z,KMAX,Mode,Mode2);">ACOVF</a> <a href="acorf.html" class="code" title="function [AUTOCOV,stderr,lpq,qpval] = acorf(Z,N);">ACORF</a> <a href="ar2poly.html" class="code" title="function [A] = ar2poly(A);">AR2POLY</a> <a href="rc2ar.html" class="code" title="function [MX,res,arg3,acf] = rc2ar(rc);">RC2AR</a> <a href="durlev.html" class="code" title="function [MX,res,arg3] = durlev(AutoCov);">DURLEV</a> <a href="sumskipnan.html" class="code" title="function [o,count,SSQ,S4M] = sumskipnan(i,DIM)">SUMSKIPNAN</a> <a href="lattice.html" class="code" title="function [MX,PE,arg3] = lattice(Y,lc,Mode);">LATTICE</a></pre></div><!-- crossreference --><h2><a name="_cross"></a>CROSS-REFERENCE INFORMATION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>This function calls:<ul style="list-style-image:url(../matlabicon.gif)"><li><a href="ar2poly.html" class="code" title="function [A] = ar2poly(A);">ar2poly</a> converts autoregressive parameters into AR polymials</li><li><a href="lattice.html" class="code" title="function [MX,PE,arg3] = lattice(Y,lc,Mode);">lattice</a> Estimates AR(p) model parameter with lattice algorithm (Burg 1968)</li></ul>This function is called by:<ul style="list-style-image:url(../matlabicon.gif)"></ul><!-- crossreference --><hr><address>Generated on Tue 17-Aug-2004 00:13:21 by <strong><a href="http://www.artefact.tk/software/matlab/m2html/">m2html</a></strong> © 2003</address></body></html>⌨️ 快捷键说明
复制代码
Ctrl + C
搜索代码
Ctrl + F
全屏模式
F11
切换主题
Ctrl + Shift + D
显示快捷键
?
增大字号
Ctrl + =
减小字号
Ctrl + -