代码搜索：Matrices
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www.eeworm.com/read/100395/15874855
html descript.html
Newmat09 - general description
General description
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www.eeworm.com/read/347945/11623363
m mpt_enumeration_mpmilp.m
function model = mpt_enumeration_mpmilp(Matrices,options)
% Variable bounds when all binary variables are relaxed
[global_lower,global_upper] = mpt_detect_and_improve_bounds(Matrices,Matrices.lb,Mat
www.eeworm.com/read/193277/8241842
m mpt_enumeration_mpmilp.m
function model = mpt_enumeration_mpmilp(Matrices,options)
% Variable bounds when all binary variables are relaxed
[global_lower,global_upper] = mpt_detect_and_improve_bounds(Matrices,Matrices.lb,Mat
www.eeworm.com/read/386050/8768091
m prmemory.m
%PRMEMORY Set/get size of memory usage
%
% N = PRMEMORY(N)
%
% N : The desired / retrieved maximum size data of matrices (in
% matrix elements)
%
% DESCRIPTION
% This retoutine sets or ret
www.eeworm.com/read/182905/9186042
m schura.m
function [V,D]=schurb(A,jthresh)
% Joint approximate Schur transformation
%
% Joint approximate of n (complex) matrices of size m*m stored in the
% m*mn matrix A by minimization of a joint diagon
www.eeworm.com/read/182905/9186048
m jda.m
% Calling the joint approximate diagonalization function.
M=3; % dimension
N=3; % Number of matrices
snr=0.25;
jthresh = 1.0e-12; % precision on joint diag
K=1;
for k=1:K
k;
%
www.eeworm.com/read/379563/9193514
m acsobiro.m
function [H,S,D]=acsobiro(X,n,p),
% Program implemented and improved by A. Cichocki
% on basis of the classical SOBI algorithm of Belouchrani.
% Attention for noisy data you should take at least
www.eeworm.com/read/379294/9201237
readme
This directory contains the last two test problems as described in
README of the directory above this one.
zlatev.f : three different codes to generate matrices from the
Zlatev et. al.
www.eeworm.com/read/166509/10017302
m contents.m
% TDSEP ICA tools version 2.01, 2/14/99 by AZ
%
% This is a simple and efficient MATLAB implementation of blind source separation.
% Along the lines of Schuster and Molgedey [1] two (lagged) correl