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检索条件："关键词=analysis（ICA） "
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FREQUENCY OVERLAPPED SIGNAL IDENTIFICATION USING BLIND SOURCE SEPARATION被引量：6
《Chinese Journal of Mechanical Engineering》2006年第2期286-289,共4页WANG Junfeng SHI Tielin HE Lingsong YANG Shuzi 
This project is supported by National Natural Science Foundation of China(No.50405033).
The concepts, principles and usages of principal component analysis （PCA） and independent component analysis （ICA） are interpreted. Then the algorithm and methodology of ICA-based blind source separation （BSS）, ...
关键词：Principal component analysis（PCA） Independent component analysis（ICA） Blind source separation （BSS） 
Novel infrared and visible image fusion method based on independent component analysis被引量：5
《Frontiers of Computer Science》2014年第2期243-254,共12页Yin LU Fuxiang WANG Xiaoyan LUO Feng LIU 
The goal of infrared （IR） and visible image fu- sion is for the fused image to contain IR object features from the IR image and retain the visual details provided by the visible image. The disadvantage of traditiona...
关键词：image fusion independent component analysis（ICA） feature extraction KURTOSIS 
An Improved Fixed-point Algorithm for Independent Component Analysis of Functional MRI Data
《Chinese Journal of Biomedical Engineering(English Edition)》2009年第2期78-83,共6页WENG Xiao-guang WANG Hui-nan QIAN Zhi-yu 
National Natural Science Foundation;grant number:30671997;National‘863’Project;grant number:2007AA02Z4A9C
The fixed-point algorithm and infomax algorithm are two of the most popular algorithms in independent component analysis(ICA).However,it is hard to take both stability and speed into consideration in processing functi...
关键词：independent component analysis（ICA） functional magnetic reasonance imaging（fMRI） Newton iteration 
An Improved SAR Image Denoising Method Based on Bootstrap Statistical Estimation with ICA Basis被引量：7
《Chinese Journal of Electronics》2016年第4期786-792,共7页JI Jian LI Yang 
supported by the National Natural Science Foundation of China (No.61101248);the Fundamental Research Funds for the Central Universities of China(No.JB160302,No.JB150317)
A new method for Synthetic aperture radar(SAR) image denoising is proposed.The prior information of speckle statistical model can be exploited to judge its distribution.The basis of SAR image can be estimated by Indep...
关键词：Synthetic aperture radar（SAR） Image denoising Independent component analysis（ICA） basis Bootstrap Maximum a posterior probability（MAP） 
A Method of Soil Salinization Information Extraction with SVM Classification Based on ICA and Texture Features被引量：3
《Agricultural Science & Technology》2011年第7期1046-1049,1074,共5页ZHANG Fei TASHPOLAT Tiyip KUNG Hsiang-te DING Jian-li MAMAT.Sawut VERNER Johnson HAN Gui-hong GUI Dong-wei 
Supported by the National Key Basic Research Development Pro-gram (2009CB421302 );National Natural Science Foundation ofChina (40861020,40961025,40901163);Natural Science Foun-dation of Xinjiang (200821128 );Open Foundation of State KeyLaboratory of Resources and Environment Information ystems(2010KF0003SA)
Salt-affected soils classification using remotely sensed images is one of the most common applications in remote sensing,and many algorithms have been developed and applied for this purpose in the literature.This stud...
关键词：Independent component analysis（ICA） Texture features Support vector machine（SVM） Soil salinizaiton 
DIMENSIONALITY REDUCTION FOR HYPERSPECTRAL IMAGERY BASED ON FASTICA被引量：4
《Journal of Electronics(China)》2009年第6期831-835,共5页Xin Qin Nian Yongjian Li Xiu Wan Jianwei Su Linghua 
Supported by the National Natural Science Foundation of China (No. 60572135)
The high dimensions of hyperspectral imagery have caused burden for further processing. A new Fast Independent Component Analysis (FastICA) approach to dimensionality reduction for hyperspectral imagery is presented. ...
关键词：Hyperspectral imagery Dimensionality reduction Independent Component Analysis（ICA） 
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