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Description: this directory
contains the following:
* The acdc algorithm for finding the
approximate general (non-orthogonal)
joint diagonalizer (in the direct Least Squares sense) of a set of Hermitian matrices.
[acdc.m]
* The acdc algorithm for finding the
same for a set of Symmetric matrices.
[acdc_sym.m](note that for real-valued matrices the Hermitian and Symmetric cases are similar however, in such cases the Hermitian version
[acdc.m], rather than the Symmetric version[acdc_sym] is preferable.
* A function that finds an initial guess
for acdc by applying hard-whitening
followed by Cardoso s orthogonal joint
diagonalizer. Note that acdc may also
be called without an initial guess,
in which case the initial guess is set by default to the identity matrix.
The m-file includes the joint_diag
function (by Cardoso) for performing
the orthogonal part.
[init4acdc.m]
Platform: |
Size: 10609 |
Author: 薛耀斌 |
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Description: this directory
contains the following:
* The acdc algorithm for finding the
approximate general (non-orthogonal)
joint diagonalizer (in the direct Least Squares sense) of a set of Hermitian matrices.
[acdc.m]
* The acdc algorithm for finding the
same for a set of Symmetric matrices.
[acdc_sym.m](note that for real-valued matrices the Hermitian and Symmetric cases are similar however, in such cases the Hermitian version
[acdc.m], rather than the Symmetric version[acdc_sym] is preferable.
* A function that finds an initial guess
for acdc by applying hard-whitening
followed by Cardoso s orthogonal joint
diagonalizer. Note that acdc may also
be called without an initial guess,
in which case the initial guess is set by default to the identity matrix.
The m-file includes the joint_diag
function (by Cardoso) for performing
the orthogonal part.
[init4acdc.m]
Platform: |
Size: 10240 |
Author: 薛耀斌 |
Hits:
Description: 可以分离语音的独立分量分析程序 可以实现瞬时和卷积混合的分离 相当好用-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)
Platform: |
Size: 136192 |
Author: guowenxin |
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Description: 近年来，盲源分离技术成为研究热点。这是盲源分离技术的JADE算法，十分经典哦-In recent years, blind source separation technique to become a research hotspot. This is the JADE algorithm for blind source separation, very classic!
Platform: |
Size: 2048 |
Author: xpc |
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Description:
The goal of this project is separate the sound mixtures (.wav) to source signal.
-it is an audio blind source separation with independent component analysis.
In the file , it contains correlation.m, decorrelation.m, ica_.m , joint_diag.m, permuation.m, separation.m, Readme.txt
,X_linear.wav,X_room.wav
and readme.txt can help users operate the code correctly.
Beside the X_linear.wav,X_room.wav is the sound mixtures is considered as input signal
Platform: |
Size: 125952 |
Author: liu |
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