代码搜索：FastICA

找到约 394 项符合「FastICA」的源代码

代码结果 394
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changelog

mfbox (1.06) * based on r239 * bugfixes and cleanups * added fastica as ica algorithm * more sanity checks in UI * experimental temporal Jade * change of alpha normalization in stSOBI
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www.eeworm.com/read/436207/1850463

m matlabica.m

DATA = load('ICAdataMatrix.txt'); [IC, A, invA] = fastica(DATA','displayMode','off','approach','symm','g','tanh','stabilization','on'); [ICnumRows, ICnumCols] = size(IC); [AnumRows, AnumCols] = size(A
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www.eeworm.com/read/156528/11795279

m rad.m

function rad() FIGURENAME = '盲分离系统'; FIGURETAG = 'f_FastICA'; SCREENSIZE = get(0,'ScreenSize'); FIGURESIZE = [round(0.1*SCREENSIZE(3)) (SCREENSIZE(4)-round(0.1*SCREENSIZE(4))-370) 530 370]; %%%%%
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www.eeworm.com/read/423552/10550291

m mfbox_pearsonica_run.m

function [params,A,W,S]=mfbox_pearsonica_run(X,mask,params,runflag) % run pearson based fastica % % Usage: % [params,A,W,S]=mfbox_pearsonica_run(X,mask,params,runflag) % % X - (NxT) data % ma
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www.eeworm.com/read/420435/6358300

asv newica.asv

%block-extended-Infomax+fastICA function [A,W,Y]=newICA(whitendsig,whiteningmatrix,dewhiteningmatrix,Numb,... elta,g,a1,a2,numIC,epsilon,numiteration,maxnumiteration); %A，估计的混合矩阵 %W，解混矩阵 %Y,分
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www.eeworm.com/read/420435/6358309

m newica.m

%block-extended-Infomax+fastICA function [A,W,Y]=newICA(whitendsig,whiteningmatrix,dewhiteningmatrix,Numb,... elta,g,a1,a2,numIC,epsilon,numiteration,maxnumiteration); %A，估计的混合矩阵 %W，解混矩阵 %Y,分
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www.eeworm.com/read/230010/14309241

cpp embed_alg.cpp

#include #include "bmpstruct.h" #include #include #include void mat_mult (float *, int , int , float *, int , int , float *); void FastICA(float *, flo
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www.eeworm.com/read/420435/6358299

m newica1.m

%extended-Infomax+fastICA function [A,W,Y]=newICA1(whitendsig,whiteningmatrix,dewhiteningmatrix,... elta,g,a1,a2,numIC,epsilon,numiteration,maxnumiteration); %A，估计的混合矩阵 %W，解混矩阵 %Y,分解出的独立分量 %
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www.eeworm.com/read/243093/12964895

m icasso.m

function [Iq,A,W,S,sR]=icasso(X,M,varargin) %function [Iq,A,W,S,sR]=icasso(X,M,['argid1',value1,'argid2',value2,...]) % %PURPOSE % %Demonstrates the basic Icasso procedure: %1. Runs FastICA with give
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www.eeworm.com/read/400441/11576992

m faxt_ica_example.m

FastICA算法代码 %对数据进行标准化 close all,clear load np_all normsr=zscore(npp); features=normsr'; [r,c]= size(features); %对数据进行白化，使之为0均值，单位协方差 features = features - mean(features')'*ones(1,c);
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