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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m classinglda.m

%田宏宇——机器学习 作业2 LDA function accuracy = ClassingLDA(ReducedDim) %一个修改后的LDA进行人脸识别的Matlab代码 %clear all; % calc xmean,sigma and its eigen decomposition allsamples=[];%所有训练图像 load faceTemplet patte
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m classingpca.m

%田宏宇——机器学习 作业2 PCA function accuracy = ClassingPCA(ReducedDim) %一个修改后的PCA进行人脸识别的Matlab代码 %clear all; % calc xmean,sigma and its eigen decomposition allsamples=[];%所有训练图像 load faceTemplet patt
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m qpdec.m

function [p0, p1] = qpdec(x, type) % QPDEC Quincunx Polyphase Decomposition % % [p0, p1] = qpdec(x, [type]) % % Input: % x: input image % type: [optional] one of {'1r', '1c', '2r', '2c'} def
www.eeworm.com/read/490329/1201506

h incr_lu.h

#ifndef HK_INCR_LU_MATRIX #define HK_INCR_LU_MATRIX #define hk_Incr_LU_EPS 1E-6f // incremental LU decomposition // U_matrix and L_matrix are aligned_row_len*n_max big, rowwise organized, but
www.eeworm.com/read/429426/1949174

entries

D/devscripts//// /assistant.cpp/1.4/Sun Apr 18 21:11:19 2004//Tstable /boolcnt.cpp/1.2/Mon May 12 13:51:19 2003//Tstable /clas_gen.cpp/1.1.1.1/Mon Mar 31 11:53:34 2003//Tstable /decomposition.cpp/
www.eeworm.com/read/269766/11078953

m ullv_rdef.m

function [LA,L,V,UA,UB] = ullv_rdef(LA,L,V,UA,UB,r,umin) % ullv_rdef --> Deflate one row of LA in the ULLV decomposition. % % % [LA,L,V,UA,UB] = ullv_rdef(LA,L,V,UA,UB,r,umin) % %
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m nsfbdec.m

function [y0, y1] = nsfbdec( x, h0, h1, lev ) % nsfbdec - computes the ns pyramid decomposition % at level lev with filters f1, f2 % y = nsfbdec(x,h0,h1,L) % INPUT: x image at finer scale %
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entries

/despain_derivation.html/1.1.1.1/Sun Jul 29 12:30:35 2001// /dft_decomposition.abw/1.1.1.1/Sun Jul 29 12:30:38 2001// /fdl.sgml/1.1.1.1/Sun Jul 29 12:30:48 2001// /fft_rot45.fig/1.1.1.1/Sun Jul 29
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m nsfbdec.m

function [y0, y1] = nsfbdec( x, h0, h1, lev ) % nsfbdec - computes the ns pyramid decomposition % at level lev with filters f1, f2 % y = nsfbdec(x,h0,h1,L) % INPUT: x image at finer scale %
www.eeworm.com/read/488296/6491655

m fwt_5scales.m

%This function performs the fast wavelet transform in 5 scales. function [W1 W2 W3 W4 W5] = fwt_5scales (S) [Lo_d,Hi_d]=wfilters ('db1','d'); %decomposition filters for the fwt algorithm ('gaus