NDLI: An improved blind source separation algorithm based on generalized variance

Content Provider	IEEE Xplore Digital Library
Author	Xiang Dongyang Wu Zhengguo Hu Wenbiao Wang Jialing
Copyright Year	2010
Description	Author affiliation: Navy University of Engineering, Wuhan, China (Xiang Dongyang; Wu Zhengguo; Hu Wenbiao; Wang Jialing)
Abstract	In this paper, an improved blind source separation algorithm based on generalized variance is proposed. The observation signal is partitioned to nonoverlapping blocks and the covariance matrix is estimated at some time delay. An algorithm that converts the nonpositive definite covariance matrix into positive definite matrix is presented; thus, without searching for the positive definite covariance matrix, the objective function is defined by using the Hadamard inequation conveniently. The improved blind source separation algorithm belongs to nonorthogonal joint diagonalization and the error due to the whitening processing and the orthogonal transformation is eliminated. Simulations results demonstrate that the algorithm has a substantial improvement in the separating performance.
Starting Page	387
Ending Page	391
File Size	839505
Page Count	5
File Format	PDF
ISBN	9781424455379
e-ISBN	9781424455409
DOI	10.1109/ICCSIT.2010.5563891
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	nonstationarity Search problems Decorrelation Copper positive definite blind source separation Signal to noise ratio generalized variance
Content Type	Text
Resource Type	Article

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