DocumentCode :
772263
Title :
Blind Second-Order Source Extraction of Instantaneous Noisy Mixtures
Author :
Liu, Wei ; Mandic, Danilo P. ; Cichocki, Andrzej
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. of Sheffield
Volume :
53
Issue :
9
fYear :
2006
Firstpage :
931
Lastpage :
935
Abstract :
The problem of blind source extraction (BSE) for noisy measurements is addressed in the domain of second-order statistics using the linear predictor method. By extending the results from the noise-free case, two methods for the noisy case are proposed, whereby, for rigor, the effect of noise is removed from the cost function. The so introduced algorithms are based, respectively, on the minimization of the normalized mean square prediction error (MSPE), and the minimization of MPSE. The analysis of the derived BSE algorithms is supported by simulations
Keywords :
blind source separation; higher order statistics; mean square error methods; additive noise; blind second-order source extraction; instantaneous noisy mixtures; linear predictor method; noisy measurements; normalized mean square prediction error; second-order statistics; Adaptive algorithm; Additive noise; Algorithm design and analysis; Analytical models; Cost function; Higher order statistics; Minimization methods; Signal processing; Signal processing algorithms; Vectors; Additive noise; blind source extraction (BSE); online learning; second-order statistics;
fLanguage :
English
Journal_Title :
Circuits and Systems II: Express Briefs, IEEE Transactions on
Publisher :
ieee
ISSN :
1549-7747
Type :
jour
DOI :
10.1109/TCSII.2006.881815
Filename :
1705069
Link To Document :
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