代码搜索：Matrices
找到约 3,616 项符合「Matrices」的源代码
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www.eeworm.com/read/347945/11625397
m basicsex.m
clc
echo on
%*********************************************************
%
% Basic manipulation of variables and constraints
%
%*********************************************************
%
% Let
www.eeworm.com/read/260427/11725722
txt readme.txt
the attached utility is a work I've submitted to the university
It shows what a jpeg compression is all about.
the function implements the DCT transform, using a matrix operator.
note that matlab
www.eeworm.com/read/346528/11739211
m paulixyz.m
% paulixyz Pauli matrices
% Defines x,y,z and e as the 2x2 Pauli spin
% matrices and the identity.
% Copyright (C) 2005 Geza Toth E.mail: toth@alumni.nd.edu
%
% This program is free softwar
www.eeworm.com/read/155807/11845940
m wrapmat.m
function [varargout]=wrapmat(in,r,c)
% WRAPMAT
% converts a single row vector to one or more
% RxC matrices
%
% usage:
% [M1,M2,...,MD]=WRAPMAT(O,R,C)
%
% input:
% O = row vector to
www.eeworm.com/read/154843/11923367
m gausprod.m
function [g,u,k]=gausprod(m,c)
%GAUSPROD calculates a product of gaussians [G,U,K]=(M,C)
% calculates the product of n d-dimensional multivariate gaussians
% this product is itself a gaussian
% In
www.eeworm.com/read/343227/11962859
m gauseval.m
function dens = gauseval(X, mu, Sigma, QUIET)
%gauseval Computes a set of multivariate normal density values.
% In the case of diagonal covariance matrices, the mex-file c_dgaus
% will be used
www.eeworm.com/read/342323/12027725
m user_alg5.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/342323/12027754
m user_alg6.m
function W=jade_fobi(X)
% JADE with random matrices
%**************************************************
% Blind identification by joint diagonalization
% of cumulant matrices generated by rand
www.eeworm.com/read/342323/12027802
m user_alg3.m
%function [W,He,Y] = evd( X, n, p, alpha );
function [W] = evd( X, n, p, alpha );
% EVD method for source separation
% written by Andrzej Cichocki and Pando Georgiev
% m - number of sensors
% n -
www.eeworm.com/read/342323/12028068
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