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/351176/10676071

m user_alg6.m

function W=jade_fobi(X) % JADE with random matrices %************************************************** % Blind identification by joint diagonalization % of cumulant matrices generated by rand
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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 -
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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
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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/271760/10981469

m fmulf.m

function fout=fmulf(w,f1,f2) %FMULF Multiply two MVFR matrices. % FMULF(W,F1,F2) returns an MVFR matrix whose % component matrices = F1m*F2m, % where F1m and F2m are the compone
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m fsize.m

function [m,n]=fsize(w,f) %FSIZE Size of MVFR matrix. % FSIZE(W,F) checks the MVFR matrix, F, for % consistency with the associated frequency vector W % and returns the size vec
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m fsvd.m

function [u,s,v]=fsvd(w,f) %FSVD Singular values of MVFR matrix. % FSVD(W,F) returns the singular values, one row per % frequency, of the component matrices of the MVFR matrix, F. %
www.eeworm.com/read/460712/7105673

m clcpdef.m

function [P,G,H,F,sgn,typ]=clcpdef(P,G,H,F,sgn,typ) % CLCPDEF Defaults for CLCP. (Utility Function) % CLCPDEF sets the defaults for whatever the user either passed in % as [] or did
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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
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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