代码搜索：MIXTURE
找到约 1,805 项符合「MIXTURE」的源代码
代码结果 1,805
www.eeworm.com/read/145281/5746915
pcf proto_s1_m4_dc.pcf
This PCF produces a single stream, 4 mixture prototype system
hsKind: P
covKind: D
nStates: 3
nStreams: 1
sWidths: 26
mixes: 4
parmKind: MFCC_
www.eeworm.com/read/140847/5779119
m mfa_cl.m
% function [lik, likv]=mfa_cl(X,Lh,Ph,Mu,Pi);
%
% Calculates log likelihoods of a data set under a mixture of factor
% analysis model.
%
% X - data matrix
% Lh - factor loadings
% Ph - diagonal uniq
www.eeworm.com/read/133943/5897305
m mfa_cl.m
% function [lik, likv]=mfa_cl(X,Lh,Ph,Mu,Pi);
%
% Calculates log likelihoods of a data set under a mixture of factor
% analysis model.
%
% X - data matrix
% Lh - factor loadings
% Ph - diagonal uniq
www.eeworm.com/read/132212/5919085
pcf proto_s1_m4_dc.pcf
This PCF produces a single stream, 4 mixture prototype system
hsKind: P
covKind: D
nStates: 3
nStreams: 1
sWidths: 26
mixes: 4
parmKind: MFCC_
www.eeworm.com/read/259241/11812588
m mixgauss_mstep.m
function [mu, Sigma] = mixgauss_Mstep(w, Y, YY, YTY, varargin)
% MSTEP_COND_GAUSS Compute MLEs for mixture of Gaussians given expected sufficient statistics
% function [mu, Sigma] = Mstep_cond_gauss(w
www.eeworm.com/read/343227/11962922
m mix.m
function [w_, mu_, Sigma_, logl] = mix (X, w, mu, Sigma, n_it)
%mix Performs multiple iterations of the EM algorithm for a mixture model.
% This is just a call to the lower-level functions.
www.eeworm.com/read/128468/14295360
m pnmix.m
function [hellipse,hcenter]=pnmix(X,MI,SIGMA,I,hellipse,hcenter)
% [hellipse,hcenter]=pnmix(X,MI,SIGMA,I,hellipse,hcenter)
%
% PNMIX vizualizes mixture of normal distributions in 2D space.
% Each n
www.eeworm.com/read/465307/1521129
pcf proto_s1_m4_dc.pcf
This PCF produces a single stream, 4 mixture prototype system
hsKind: P
covKind: D
nStates: 3
nStreams: 1
sWidths: 26
mixes: 4
parmKind: MFCC_
www.eeworm.com/read/251838/4414487
m mfa_cl.m
% function [lik, likv]=mfa_cl(X,Lh,Ph,Mu,Pi);
%
% Calculates log likelihoods of a data set under a mixture of factor
% analysis model.
%
% X - data matrix
% Lh - factor loadings
% Ph - diagonal uniq
www.eeworm.com/read/251522/4418859
m mfa_cl.m
% function [lik, likv]=mfa_cl(X,Lh,Ph,Mu,Pi);
%
% Calculates log likelihoods of a data set under a mixture of factor
% analysis model.
%
% X - data matrix
% Lh - factor loadings
% Ph - diagonal uniq