代码搜索：Matrix
找到约 10,000 项符合「Matrix」的源代码
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www.eeworm.com/read/321050/13412815
m ss_tbl31.m
Gold sequences for the table of problem 3.1 of Spread Spectrum Chapter
Note that the sequences are the columns of the below matrix not the rows,
so we have to take the transpose of the following m
www.eeworm.com/read/320711/13419710
m anal2.m
function [E,Nc,mC,T] = anal2(M,D,st,s);
%
% Ph.D. Thesis
% Copyright by Leandro Nunes de Castro
% March, 2000
% Immune Network (iNet) - Description in iNet.doc
% Function determines the Minima
www.eeworm.com/read/320176/13431564
m randvec.m
function x=randvec(n,m,c)
%RANDVEC Generate gaussian random vectors X=(N,M,C)
% generates a random matrix of size (n,p) where p is the maximum dimension of m or c
% Each row of x is independent wi
www.eeworm.com/read/320176/13431575
m rdct.m
function y=rdct(x,n)
%RDCT Discrete cosine transform of real data Y=(X,N)
% Data is truncated/padded to length N.
%
% This routine is equivalent to multiplying by the matrix
%
% rdct(eye(n
www.eeworm.com/read/320172/13431657
m randvec.m
function x=randvec(n,m,c)
%RANDVEC Generate gaussian random vectors X=(N,M,C)
% generates a random matrix of size (n,p) where p is the maximum dimension of m or c
% Each row of x is independent wi
www.eeworm.com/read/320172/13431668
m rdct.m
function y=rdct(x,n)
%RDCT Discrete cosine transform of real data Y=(X,N)
% Data is truncated/padded to length N.
%
% This routine is equivalent to multiplying by the matrix
%
% rdct(eye(n
www.eeworm.com/read/319962/13438932
c stviterbi.c
/* MATLAB's C-MEX space-time trellis decoder for QPSK
*
* Copyright Bagawan S. Nugroho, 2006
*********************************************/
#include "mex.h"
#include "matrix.h"
#include
www.eeworm.com/read/319604/13448338
m anal2.m
function [E,Nc,mC,T] = anal2(M,D,st,s);
%
% Ph.D. Thesis
% Copyright by Leandro Nunes de Castro
% March, 2000
% Immune Network (iNet) - Description in iNet.doc
% Function determines the Minima
www.eeworm.com/read/319045/13463988
m fastica.m
function [Out1, Out2, Out3] = fastica(mixedsig, varargin)
%FASTICA - Fast Independent Component Analysis
%
% FastICA for Matlab 5.x
% Version 2.1, January 15 2001
% Copyright (c) Hugo G鋠ert, Jarm
www.eeworm.com/read/318947/13465957
m validate.m
function [cost,nmodel,output] = validate(model, Xtrain, Ytrain, Xtest, Ytest,estfct, trainfct, simfct)
% Validate a trained model on a fixed validation set
%
% >> cost = validate({X,Y,type,gam,sig2}