代码搜索：FastICA
找到约 394 项符合「FastICA」的源代码
代码结果 394
www.eeworm.com/read/303147/13820992
m demo.m
% demonstrates denoise package
load lena.mat
figure
colormap(gray)
noise=randn(size(lena))*100;
fprintf('Original Image and noisy image\n\n');
imagesc([lena,lena+noise]);
pause;
lica_d
www.eeworm.com/read/156528/11795321
m selcbk.m
function selcbk(source,eventdata)
global g_ICA_name;
global ht_FastICA_icaStatus
g_ICA_name = get(get(source,'SelectedObject'),'String');
%disp(g_ICA_name);
str=[g_ICA_name '算法'];
set(ht_F
www.eeworm.com/read/156528/11795272
m bss_system.m
function bss_system()
%
%
%
%盲信号处理系统
%瞬时混合算法
% Handles to other controls in this main window
global ht_FastICA_mixedStatus;
global ht_FastICA_dim;
global ht_FastICA_numOfSamp;
global ht_Fa
www.eeworm.com/read/177715/9438166
m cfastica_public.m
% Complex FastICA
% Ella Bingham 1999
% Neural Networks Research Centre, Helsinki University of Technology
% This is simple Matlab code for computing FastICA on complex valued signals.
% The algorith
www.eeworm.com/read/356172/10235535
m cfastica_public.m
% Complex FastICA
% Ella Bingham 1999
% Neural Networks Research Centre, Helsinki University of Technology
% This is simple Matlab code for computing FastICA on complex valued signals.
% The algorith
www.eeworm.com/read/356172/10235536
asv cfastica_public.asv
% Complex FastICA
% Ella Bingham 1999
% Neural Networks Research Centre, Helsinki University of Technology
% This is simple Matlab code for computing FastICA on complex valued signals.
% The algorith
www.eeworm.com/read/137889/13281320
m cfastica_public.m
% Complex FastICA
% Ella Bingham 1999
% Neural Networks Research Centre, Helsinki University of Technology
% This is simple Matlab code for computing FastICA on complex valued signals.
% The algorith
www.eeworm.com/read/341486/12082659
asv enbed.asv
%--------将源图像逐行存储到矩阵S_I里
A=OpenBitmap('6.tif');
k=25;
l=32;
S_CI=DvdBptSubBp(A,k,l);
%--------将源图像逐行存储到矩阵S_CI里
%------------调用fastICA算法
[icasig, A_matrix, W_matrix] =FASTICA(S_CI);
%----------
www.eeworm.com/read/341486/12082699
m enbed.m
%--------将源图像逐行存储到矩阵S_I里
A=OpenBitmap('6.tif');
k=25;
l=32;
S_CI=DvdBptSubBp(A,k,l);
%--------将源图像逐行存储到矩阵S_CI里
%------------调用fastICA算法
[icasig, A_matrix, W_matrix] =FASTICA(S_CI);
%----------
www.eeworm.com/read/472863/6859006
m demo.m
% demo --- using FastICA to separating 3 mixed images
%PCA-ICA方法实现SAR图像中的相干斑去除
%FastICA算法：收敛速度快但稳定性不够好
clear;clc;close all;
% 获取三个大小为256×256的双精度(0-1)图象
%-------------------------- case 1