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FastICA134

于 2010-06-25 发布 文件大小:42KB
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代码说明:

  在诸多ICA算法中,固定点算法 (也称FastlCA)以其收敛速度快、分离效果好被广泛应用于信号处理领域。该算法能很好地从观测信号中估计出相互统计独立的、被未知因素混合的原始信号。(In many ICA algorithms, fixed-point algorithm (also known as FastlCA) for its fast convergence and good separation effect is widely used signal processing. The algorithm can estimate from the observed signals statistically independent each other, unknown factors are a mixture of the original signal.)

文件列表:

FastICA134
..........\FastICA25
..........\.........\Contents.m,1307,2005-10-19
..........\.........\CVS
..........\.........\...\Entries,794,2005-10-19
..........\.........\...\Repository,8,2005-10-19
..........\.........\...\Root,21,2005-10-19
..........\.........\demosig.m,748,2003-04-05
..........\.........\dispsig.m,402,2003-04-05
..........\.........\fastica.m,18436,2005-10-19
..........\.........\fasticag.m,19214,2005-10-19
..........\.........\fpica.m,26041,2005-06-16
..........\.........\gui_adv.m,13126,2004-07-27
..........\.........\gui_advc.m,7411,2003-09-08
..........\.........\gui_cb.m,19416,2003-09-10
..........\.........\gui_cg.m,2704,2003-04-05
..........\.........\gui_help.m,14536,2005-10-19
..........\.........\gui_l.m,5129,2004-07-27
..........\.........\gui_lc.m,3665,2003-09-11
..........\.........\gui_s.m,5017,2004-07-27
..........\.........\gui_sc.m,2402,2003-09-08
..........\.........\icaplot.m,13259,2003-04-05
..........\.........\pcamat.m,12075,2003-12-15
..........\.........\remmean.m,461,2003-04-05
..........\.........\whitenv.m,2842,2003-10-12

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