DocumentCode :
3573218
Title :
Stability analysis of blind signals separation algorithms
Author :
Chen, Tianping ; Lu, Wenlian
Author_Institution :
Lab of Nonlinear Math. Sci., Furan Univ., Shanghai, China
Volume :
1
fYear :
2003
Firstpage :
738
Abstract :
Blind source separation (BSS)/ independent component analysis (ICA) is an emerging research field in both theory and applications. It has been motivated by practical applications that involve multiple source signals and observation sensors and share a common objective, that is to separate source signals and estimate channel parameters without knowing the characteristics of the transmission channel. In this paper, we propose an algorithm, analyze its dynamical behaviors and answer the problem whether the resulting signals are the source signals.
Keywords :
blind source separation; channel estimation; independent component analysis; signal sources; stability; blind signal separation algorithm; channel parameter estimation; dynamical behaviors; independent component analysis; multiple source signals; observation sensors; stability analysis; transmission channel; Algorithm design and analysis; Blind source separation; Cost function; Independent component analysis; Neural networks; Parameter estimation; Sensor phenomena and characterization; Signal analysis; Source separation; Stability analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2003. Proceedings of the International Joint Conference on
ISSN :
1098-7576
Print_ISBN :
0-7803-7898-9
Type :
conf
DOI :
10.1109/IJCNN.2003.1223465
Filename :
1223465
Link To Document :
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