DocumentCode :
1949432
Title :
A Novel Approach to Blind Source Extraction Based on Skewness
Author :
Shi, Qingyan ; Wu, Renbiao ; Wang, Shuyan
Author_Institution :
Key Lab for Radar Signal Process., Xidian Univ., Xi´´an
Volume :
4
fYear :
2006
fDate :
16-20 2006
Abstract :
Blind signal extraction (BSE) is an efficient way to recover the source signals from the observed signals. In this paper, a new adaptive algorithm of blind signal extraction based on the skewness was introduced for the signals whose probability distribution is not symmetric. The algorithm cooperated with the deflation procedure realizes the extraction of source signals one bye one. Only third-order statistics are used in the novel algorithm, so it can reduce the computational burden effectively. Computer simulations confirm the validity and performance of the algorithm
Keywords :
blind source separation; higher order statistics; blind source extraction; probability distribution; skewness; source signals; third-order statistics; Brain modeling; Computational modeling; Cost function; Gaussian noise; Noise robustness; Radar signal processing; Signal processing; Signal processing algorithms; Source separation; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
Type :
conf
DOI :
10.1109/ICOSP.2006.346114
Filename :
4129806
Link To Document :
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