Blind Source Separation Based on Signal Temporal Predictability

Author

Yang, Zuyuan ; Zhou, Guoxu ; Zhang, Jinlong ; Zhang, Yuanjian

Author_Institution

Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou

fYear

2008

fDate

18-20 June 2008

Firstpage

452

Lastpage

452

Abstract

Based on the fact that the temporal predictability of signals is often different, new algorithm using second order statistics for blind source separation (BSS) is proposed in this work. The novel measure of signal temporal predictability is developed. Based on which, the proposed method is less time-consuming and requires minimal assumptions regarding the probability density functions of the source signals. Also, the online mode is provided. Simulations show that the proposed algorithm is robust with the best precision for batch mode, and its convergence is quite well for online mode.

Keywords

blind source separation; probability; blind source separation; probability density function; second order statistics; signal temporal predictability; Blind source separation; Convergence; Frequency domain analysis; Independent component analysis; Measurement standards; Probability density function; Robustness; Signal processing algorithms; Source separation; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on

Conference_Location

Dalian, Liaoning

Print_ISBN

978-0-7695-3161-8

Electronic_ISBN

978-0-7695-3161-8

Type

conf

DOI

10.1109/ICICIC.2008.185

Filename

4603641