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 :
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