文件列表:

1 (0, 2013-05-25)
1\X_linear.wav (123244, 2003-06-23)
1\X_room.wav (66840, 2003-06-23)
1\correlation.m (2179, 1998-07-23)
1\datar.mat (88948, 2013-05-25)
1\date.mat (133764, 2013-05-25)
1\decorrelation.m (333, 1998-07-23)
1\hongwai.mat (1027818, 2013-05-25)
1\ica_f.m (1213, 1998-07-24)
1\kejian.mat (895393, 2013-05-25)
1\permutation.m (1364, 1998-07-23)
1\sepfilter.m (1151, 1998-07-23)
1\可见光.jpg (314153, 2013-05-08)
1\红外.jpg (258675, 2013-05-08)

ica_f.m bsepf2 is the main program and it needs correlation.m decorrelation.m permutation.m sepfilter.m. You also need to visit ftp://sig.enst.fr/pub/jfc/Algo/Joint_Diag/ and get a matlab code "joint_diag.m". this is by Jean-Fran\c{c}ois Cardoso. You have to put the code under this directory "ica". usage is function [Y1,Y2] = ica_f(X,NFFT,FS,OVERLAP,N) where X : is a ".wav" data (You should use 16kHz sampling rate). NFFT : number of the FFT points. FS : sampling rate (it should be 16000 Again..) OVERLAP : overlap of the window function, if sampling rate 16kHz, it should be NFFT-20. N : number of the matrixes to be simultaneous diagonalized. 40 is my recommendation. I use this ica_f in the following way. >> X=wavread('***.wav') >> [Y1,Y2] = ica_f(X,512,16000,492,40); X_linear.wav, X_room.wav are for test use. X_linear is an instantaneous mixture, and X_room is a convolutive mixture. Shiro Ikeda, shiro@ikeda.cc

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