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
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