代码搜索：decomposition
找到约 1,689 项符合「decomposition」的源代码
代码结果 1,689
www.eeworm.com/read/341021/3259905
4 mpe_decomp1d.4
.TH MPE_Decomp1d 4 "11/2/2007" " " "MPE"
.SH NAME
MPE_Decomp1d \- Compute a balanced decomposition of a 1-D array
.SH SYNOPSIS
.nf
int MPE_Decomp1d( n, size, rank, s, e )
int n, size, rank, *s, *e;
www.eeworm.com/read/311447/13630972
m qpdec.m
function [p0, p1] = qpdec(x, type)
% QPDEC Quincunx Polyphase Decomposition五株多相分解
%
% [p0, p1] = qpdec(x, [type])
%
% Input:
% x: input image
% type: [optional] one of {'1r', '1c', '2r', '2c
www.eeworm.com/read/291584/8408610
m emd2.m
% EMD: Emprical mode decomposition(结合EMD分解和硬阈值法的去噪程序,返回值为去噪后的波形数据，并同时绘出了该去噪后的结果。)
%
% imf = emd(x)
%
% x - input signal (must be a column vector or a row vector)
%
% This version will calcula
www.eeworm.com/read/371345/9555273
m pca.m
%一个修改后的PCA进行人脸识别的Matlab代码
tic
% calc xmean,sigma and its eigen decomposition
allsamples=[];%所有训练图像
for i=1:40
for j=1:5
a=imread(strcat('E:\matlab\pic\ORL\',num2str(i),'\',num2str(j),'
www.eeworm.com/read/458632/7293062
m pca.m
%一个修改后的PCA进行人脸识别的Matlab代码
% calc xmean,sigma and its eigen decomposition
allsamples=[];%所有训练图像
for i=1:40
for j=1:5
a=imread(strcat('D:\rawdata\ORL\s',num2str(i),'\',num2str(j),'.pgm'
www.eeworm.com/read/311755/13626700
m pca.m
%一个修改后的PCA进行人脸识别的Matlab代码
% calc xmean,sigma and its eigen decomposition
allsamples=[];%所有训练图像
for i=1:40
for j=1:5
a=imread(strcat('D:\rawdata\ORL\s',num2str(i),'\',num2str(j),'.pgm'
www.eeworm.com/read/483096/6609566
m pca.m
%一个修改后的PCA进行人脸识别的Matlab代码
% calc xmean,sigma and its eigen decomposition
allsamples=[];%所有训练图像
for i=1:40
for j=1:5
a=imread(strcat('D:\rawdata\ORL\s',num2str(i),'\',num2str(j),'.pgm'
www.eeworm.com/read/157333/11718987
m facerec.m
%一个修改后的PCA进行人脸识别的Matlab代码
% calc xmean,sigma and its eigen decomposition
allsamples=[];%所有训练图像
for i=1:40
for j=1:5
a=imread(strcat('D:\rawdata\ORL\s',num2str(i),'\',num2str(j),'.pgm'
www.eeworm.com/read/216983/14983777
m pca.m
%一个修改后的PCA进行人脸识别的Matlab代码
% calc xmean,sigma and its eigen decomposition
allsamples=[];%所有训练图像
for i=1:40
for j=1:5
a=imread(strcat('D:\rawdata\ORL\s',num2str(i),'\',num2str(j),'.pgm'
www.eeworm.com/read/255967/7098248
asv emd.asv
%我现在百思不得其解的还是筛分过程中幅值改为amp=2./mean(abs(envmax-envmin),1);的原因
%
%EMD computes Empirical Mode Decomposition
%
%
% Syntax
%
%
% IMF = EMD(X)
% IMF = EMD(X,...,'Option_name',Option_value,...)
% IMF = E