Title :
Blind signal separation by algebraic independent component analysis
Author_Institution :
Dept. of Appl. Phys., Osaka Univ.
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;
Conference_Titel :
Lasers and Electro-Optics Society 2000 Annual Meeting. LEOS 2000. 13th Annual Meeting. IEEE
Conference_Location :
Rio Grande
Print_ISBN :
0-7803-5947-X
DOI :
10.1109/LEOS.2000.894069
