代码搜索：decomposition

找到约 1,689 项符合「decomposition」的源代码

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m tridiag_lu.m

function [c, d, e, iflag] = tridiag_lu( c, d, e); % % TRIDIAG_LU computes the Lu-decomposition of a tridiagonal % matrix. No pivoting is applied. % % Usage % [c, d, e, iflag] = tridiag_lu( c,
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www.eeworm.com/read/245180/12812764

m bivariate_emd_principle.m

%bivariate_EMD_principle.m %shows principle of the bivariate EMD extension %reproduces Fig. 1 in "Bivariate Empirical Mode Decomposition", G. Rilling, %P. Flandrin, P. Goncalves and J. M. Lilly, IEEE
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www.eeworm.com/read/244154/12880955

m bivariate_emd_principle.m

%bivariate_EMD_principle.m %shows principle of the bivariate EMD extension %reproduces Fig. 1 in "Bivariate Empirical Mode Decomposition", G. Rilling, %P. Flandrin, P. Goncalves and J. M. Lilly, IEEE
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www.eeworm.com/read/323252/13346517

m decompositionviterbi.m

%%making use of the result of the reference %rect %L=1 clear; clc; Rb=2400; Fc=0.5*Rb; N_sample=4; Fs=N_sample*Rb; % N=1000; M=2;%the modulation level h
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www.eeworm.com/read/307151/13727477

m bivariate_emd_principle.m

%bivariate_EMD_principle.m %shows principle of the bivariate EMD extension %reproduces Fig. 1 in "Bivariate Empirical Mode Decomposition", G. Rilling, %P. Flandrin, P. Goncalves and J. M. Lilly, IEEE
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www.eeworm.com/read/479088/6699319

m wtv02img.m

% WTV02IMG.M % this program uses the adaptive wavelet time-freq decomposition to generate % the ISAR image. it generates the wavelet coefficients B0 thru B5 % figure subplot(1,1,1) % +++++++
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m bemd.m

% BEMD.m % J.C. Nunes, Y. Bouaoune, E. Del閏helle, N. Oumar, and Ph. Bunel. % "Image analysis by bidimensional empirical mode decomposition". % Image and Vision Computing Journal (IVC), (to
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www.eeworm.com/read/344551/11872971

m bivariate_emd_principle.m

%bivariate_EMD_principle.m %shows principle of the bivariate EMD extension %reproduces Fig. 1 in "Bivariate Empirical Mode Decomposition", G. Rilling, %P. Flandrin, P. Goncalves and J. M. Lilly, IEEE
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www.eeworm.com/read/337105/12390842

m bivariate_emd_principle.m

%bivariate_EMD_principle.m %shows principle of the bivariate EMD extension %reproduces Fig. 1 in "Bivariate Empirical Mode Decomposition", G. Rilling, %P. Flandrin, P. Goncalves and J. M. Lilly, IEEE
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www.eeworm.com/read/131284/14152222

cpp evalue.cpp

//$$evalue.cpp eigen-value decomposition // Copyright (C) 1991,2,3,4: R B Davies #define WANT_MATH #include "include.h" #include "newmat.h" #include "newmatrm.h"
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