DocumentCode
2252493
Title
Sequential approach to blind source separation using second order statistics
Author
Chang, Chunqi ; Yau, Sze Fong ; Kwok, Paul ; Lam, F.K. ; Chan, Francis H Y
Author_Institution
Dept. of Electr. & Electron. Eng., Hong Kong Univ., Hong Kong
Volume
3
fYear
1997
fDate
9-12 Sep 1997
Firstpage
1608
Abstract
A general result on identifiability for the blind source separation problem, based on second order statistics only, is presented. The separation principle using second order statistics is first proposed. This is followed by a discussion on a number of algorithms to separate the sources one by one
Keywords
signal processing; statistical analysis; blind source separation; second order statistics; sequential approach; Assembly; Autocorrelation; Blind source separation; Data mining; Higher order statistics; Matrix decomposition; Neural networks; Signal processing; Strontium; Water resources;
fLanguage
English
Publisher
ieee
Conference_Titel
Information, Communications and Signal Processing, 1997. ICICS., Proceedings of 1997 International Conference on
Print_ISBN
0-7803-3676-3
Type
conf
DOI
10.1109/ICICS.1997.652266
Filename
652266
Link To Document