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[Other resource] yeredor DL : 0: 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]
Update : 2008-10-13 Size : 10.36kb Publisher : 薛耀斌
[SCM] yeredor DL : 0: 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]
Update : 2025-02-19 Size : 10kb Publisher : 薛耀斌
[matlab] ica DL : 0: 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)
Update : 2025-02-19 Size : 133kb Publisher : guowenxin
[matlab] joint_diag DL : 0: 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!
Update : 2025-02-19 Size : 2kb Publisher : xpc
[Audio program] ica DL : 0: 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
Update : 2025-02-19 Size : 123kb Publisher : liu