ica_matlab
所属分类：matlab编程
开发工具：matlab
文件大小：121KB
下载次数：513
上传日期：2011-10-23 13:00:09
上 传 者：
wuyuanzheng0101
说明： 独立成分分析（ICA）源代码大全，为初学者提供大量的算法实现代码，方便研究
(Independent component analysis (ICA) source code complete for beginners provide a lot of algorithm code to facilitate the study)
文件列表:
ica_matlab\ica\decorrelation.m (333, 1998-07-23)
ica_matlab\ica\correlation.m (2179, 1998-07-23)
ica_matlab\ica\sepfilter.m (1151, 1998-07-23)
ica_matlab\ica\ica_f.m (1213, 1998-07-24)
ica_matlab\ica\permutation.m (1364, 1998-07-23)
ica_matlab\ica\X_room.wav (66840, 2003-06-23)
ica_matlab\ica\X_linear.wav (123244, 2003-06-23)
ica_matlab\ica (0, 2011-10-23)
ica_matlab (0, 2011-10-23)
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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