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 :
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