DocumentCode
3264065
Title
Adaptive Blind Source Seperation Using Temporal Predictability
Author
Tao, Huan ; Zhang, Jian-Yun ; Yu, Lin
Author_Institution
Dept. of Inf. Eng., Electron. Eng. Inst., Hefei
Volume
1
fYear
2006
fDate
25-28 June 2006
Firstpage
280
Lastpage
283
Abstract
An adaptive blind source separation method is proposed in the paper. The method uses the temporal predictability as cost function which is not studied as much as other generic differences between the properties of signals and their mixtures. After adaptive pre-whitening the signal, step-adaptation on-line nature gradient algorithm is proposed to separate signals, which is robust and more effective. Simulations show a good separation performance of the algorithm is achieved with low signal to noise ratio
Keywords
blind source separation; gradient methods; adaptive blind source separation; cost function; signal prewhitening; step-adaptation on-line nature gradient algorithm; temporal predictability; Array signal processing; Biomedical signal processing; Blind source separation; Cost function; Covariance matrix; Noise robustness; Probability density function; Signal processing algorithms; Signal to noise ratio; Source separation;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Circuits and Systems Proceedings, 2006 International Conference on
Conference_Location
Guilin
Print_ISBN
0-7803-9584-0
Electronic_ISBN
0-7803-9585-9
Type
conf
DOI
10.1109/ICCCAS.2006.284635
Filename
4063879
Link To Document