代码搜索:decomposition

找到约 1,689 项符合「decomposition」的源代码

代码结果 1,689
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cpp evalue.cpp

/// \ingroup newmat ///@{ /// \file evalue.cpp /// Eigen-value decomposition (Householder method). // Copyright (C) 1991,2,3,4: R B Davies #define WANT_MATH #include "include.h" #includ
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m emdc_fix.m

%EMDC_FIX computes Empirical Mode Decomposition % % % Syntax % % % [IMF,NB_ITERATIONS]=EMDC_FIX(T,X,NB_ITERATONS,MAX_IMFS); % % % Description % % % computes EMD according to [1] with NB_ITERATONS
www.eeworm.com/read/202129/15390430

m emdc_fix.m

%EMDC_FIX computes Empirical Mode Decomposition % % % Syntax % % % [IMF,NB_ITERATIONS]=EMDC_FIX(T,X,NB_ITERATONS,MAX_IMFS); % % % Description % % % computes EMD according to [1] with NB_ITERATONS
www.eeworm.com/read/200618/15428553

m ghmap.m

function b=ghmap(a) %GHMAP Single-level discrete 2-D multiwavelet transform. % GHM performs a single-level 2-D multiwavelet decomposition % using GHM multiwavelet with four multi-filters % %
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m mat_emd.m

function [IMF,cumIMF] = mat_emd(x,numIMF,MAXITERATIONS); % [IMF,CUM_IMF] = MAT_EMD(X,nIMF,nITS) loops over all % columns in X, performing the empirical mode decomposition % on each one. The outpu
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m tdfbdec_l.m

function y = tdfbdec_l(x, n, dfbtype, fname) % TDFBDEC_L Directional Filterbank Decomposition using Ladder Structure % % y = dfbdec_l(x, f, n) % % Input: % x: input image % n: number o
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m ghm.m

function b=GHM(a) %GHM Single-level discrete 2-D multiwavelet transform. % GHM performs a single-level 2-D multiwavelet decomposition % using GHM multiwavelet with four multi-filters % % Y
www.eeworm.com/read/378032/9253495

m mat_emd.m

function [IMF,cumIMF] = mat_emd(x,numIMF,MAXITERATIONS); % [IMF,CUM_IMF] = MAT_EMD(X,nIMF,nITS) loops over all % columns in X, performing the empirical mode decomposition % on each one. The outpu
www.eeworm.com/read/374083/9421601

cxx evalue.cxx

//$$evalue.cxx eigen-value decomposition // Copyright (C) 1991,2: R B Davies #define WANT_MATH #include "include.h" #include "newmat.h" #include "newmatrm.h" #inc
www.eeworm.com/read/279381/10442723

m mat_emd.m

function [IMF,cumIMF] = mat_emd(x,numIMF,MAXITERATIONS); % [IMF,CUM_IMF] = MAT_EMD(X,nIMF,nITS) loops over all % columns in X, performing the empirical mode decomposition % on each one. The outpu