DocumentCode
1935647
Title
Research of Image Separation Based on Improved Independent Component Analysis
Author
Hou, Si-zu ; Wang, Ming ; Tian, Xin-cheng ; Wang, Xu ; Huang, Li-yan
Author_Institution
Sch. of Electron. & Inf. Eng., North China Electr. Power Univ., Baoding
Volume
2
fYear
2006
fDate
16-20 2006
Abstract
The basic theory of ICA and algorithm of FastiCA are briefly introduced. A variant of Newton´s iteration method is given. It is shown that the order of convergence of the new method is three. A new algorithm combined Newton´s iteration method is proposed to increase the convergence speed. The image separation simulation shows that the iterations of improved algorithm reduced 14.6 percent with the correspondent separation performance
Keywords
Newton method; image processing; independent component analysis; ICA; Newton iteration method; image separation simulation; independent component analysis; Analytical models; Biomedical signal processing; Communication systems; Convergence; Data analysis; Independent component analysis; Power engineering and energy; Signal processing; Signal processing algorithms; Statistical analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2006 8th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-9736-3
Electronic_ISBN
0-7803-9736-3
Type
conf
DOI
10.1109/ICOSP.2006.345599
Filename
4129080
Link To Document