代码搜索：decomposition

找到约 1,689 项符合「decomposition」的源代码

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changelog

2003-03-21 Brian Gough * lmset.c (set): removed reference to q, compute QR decomposition in place * lmiterate.c (iterate): removed reference to q, compute QR decompo
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www.eeworm.com/read/389321/8533520

m script4.m

% test the new decomposition method for pdtdfb close all; clear all alpha = 0.15; s = [256 256]; s = [16 8]; alpha = 0.15; alpha = 0.3; % create the grid S1 = -1.5*pi:pi/(s(1)/2):1.5*p
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www.eeworm.com/read/163025/10252365

m waveletcdf97.m

function X = WaveletCDF97(X, Level) %WAVELETCDF97 Cohen-Daubechies-Fauraue 9-7 Wavelet Transforms % Y = WaveletCDF97(X, N) performs N decomposition stages on image % X and produces wavelet tra
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www.eeworm.com/read/161485/10404522

m test_laplacian_do.m

% Demo of the Laplacian pyramid functions x = load_image('lena', 256); x = double(x)/256; % Laplacian decomposition using 9/7 filters and 5 levels pfilt = '9/7'; n = 5; y = fwt_pyramid_do(x, p
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www.eeworm.com/read/159921/10588045

m oaasmo.m

function [model] = oaasmo(data,labels,ker,arg,C,epsilon,tolerance,info) % OAASMO One-Against-All multi-class decomposition solved by SMO. % [model] = oaasmo(X,I,ker,arg,C,epsilon,tolerance,info) % % O
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www.eeworm.com/read/421949/10676721

m oaasmo.m

function [model] = oaasmo(data,labels,ker,arg,C,epsilon,tolerance,info) % OAASMO One-Against-All multi-class decomposition solved by SMO. % [model] = oaasmo(X,I,ker,arg,C,epsilon,tolerance,info) % % O
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www.eeworm.com/read/461728/7221249

m test_laplacian_do.m

% Demo of the Laplacian pyramid functions x = load_image('lena', 256); x = double(x)/256; % Laplacian decomposition using 9/7 filters and 5 levels pfilt = '9/7'; n = 5; y = fwt_pyramid_do(x, p
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www.eeworm.com/read/455033/7379069

cpp splitsimplex.cpp

// used by splitsimplex.cpp // ---- build a the simplex decomposition /* template void SplitSimplex(int N,int & nv, R1 *& P, int & nk , int *& K); template void SplitSimplex(int N,int &
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www.eeworm.com/read/488296/6491652

asv fwt_5scales.asv

%This function performs the fast wavelet transform in 5 scales. [Lo_d,Hi_d]=wfilters ('db1','d'); %decomposition filters for the fwt algorithm ('gaus'?) %a=1:1:128; S=zeros(128,19); S(:,19)
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www.eeworm.com/read/400654/11570867

m moy_env.m

% moy_env.m % BEMD % % 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 Jo
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