DocumentCode
2760378
Title
Blind signal separation by algebraic independent component analysis
Author
Itoh, Kenji
Author_Institution
Dept. of Appl. Phys., Osaka Univ.
Volume
2
fYear
2000
fDate
2000
Firstpage
746
Abstract
We propose an ICA (independent component analysis) algorithm based on the joint order statistics. Independent components are algebraically recovered without iteration. We demonstrate that the original images are recovered from the mixed images
Keywords
image processing; algebraic independent component analysis algorithm; blind signal separation; image recovery; joint order statistics; mixed image; Blind source separation; Independent component analysis; Neural networks; Neurophysiology; Optimized production technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Lasers and Electro-Optics Society 2000 Annual Meeting. LEOS 2000. 13th Annual Meeting. IEEE
Conference_Location
Rio Grande
ISSN
1092-8081
Print_ISBN
0-7803-5947-X
Type
conf
DOI
10.1109/LEOS.2000.894069
Filename
894069
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