代码搜索：Multivariate Analysis

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readme

CELP Verion 3.3 C code Beware, the speech generated by version 3.3 C code and 3.2 FORTRAN code does not match exactly. However, this slight mismatch appears to be within the arithmetic precision di
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m contents.m

% PLS_Toolbox. % Version 2.1 23-Nov-2000 % For use with MATLAB 5.2, 5.3, 6.0 % Copyright (c) 1995-2000 Eigenvector Research, Inc. % Barry M. Wise and Neal B. Gallagher % % Help and information.
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m t_errors.m

% Status of error estimates (Version 1.0, 1/Sep/01) % % To generate a harmonic analysis, we % % a) fit the series to either sines and cosines at specified % (positive) frequencies, or
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m lpccovar.m

function [ar,e,dc]=lpccovar(s,p,t,w) %LPCCOVAR performs covariance LPC analysis [AR,E,DC]=(S,P,T) % % Inputs: S(NS) is the input signal % P is the order (default: 12) %
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m lpccovar.m

function [ar,e,dc]=lpccovar(s,p,t,w) %LPCCOVAR performs covariance LPC analysis [AR,E,DC]=(S,P,T) % % Inputs: S(NS) is the input signal % P is the order (default: 12) %
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m lpccovar.m

function [ar,e,dc]=lpccovar(s,p,t,w) %LPCCOVAR performs covariance LPC analysis [AR,E,DC]=(S,P,T) % % Inputs: S(NS) is the input signal % P is the order (default: 12) %
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svn-base makfile.svn-base

wxly:wxly.c global.h analysis.c gcc wxly.c -o wxly analysis.c:global.h sh.y yacc sh.y -o analysis.c
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makfile

wxly:wxly.c global.h analysis.c analysis.c:global.h sh.y yacc sh.y -o analysis.c gcc wxly.c -o wxly
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m lpccovar.m

function [ar,e,dc]=lpccovar(s,p,t,w) %LPCCOVAR performs covariance LPC analysis [AR,E,DC]=(S,P,T) % % Inputs: S(NS) is the input signal % P is the order (default: 12) %
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www.eeworm.com/read/440750/7682105

m lpccovar.m

function [ar,e,dc]=lpccovar(s,p,t,w) %LPCCOVAR performs covariance LPC analysis [AR,E,DC]=(S,P,T) % % Inputs: S(NS) is the input signal % P is the order (default: 12) %
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