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