NDLI: Blind Separation of Underdetermined Convolutive Mixtures Using Their Time

Content Provider	IEEE Xplore Digital Library
Author	Aissa-El-Bey, A. Abed-Meraim, K. Grenier, Y.
Copyright Year	2006
Abstract	This paper considers the blind separation of nonstationary sources in the underdetermined convolutive mixture case. We introduce, two methods based on the sparsity assumption of the sources in the time-frequency (TF) domain. The first one assumes that the sources are disjoint in the TF domain, i.e., there is at most one source signal present at a given point in the TF domain. In the second method, we relax this assumption by allowing the sources to be TF-nondisjoint to a certain extent. In particular, the number of sources present (active) at a TF point should be strictly less than the number of sensors. In that case, the separation can be achieved thanks to subspace projection which allows us to identify the active sources and to estimate their corresponding time-frequency distribution (TFD) values. Another contribution of this paper is a new estimation procedure for the mixing channel in the underdetermined case. Finally, numerical performance evaluations and comparisons of the proposed methods are provided highlighting their effectiveness.
Sponsorship	IEEE Signal Processing Society
Starting Page	1540
Ending Page	1550
Page Count	11
File Size	1551854
File Format	PDF
ISSN	15587916
Volume Number	15
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Source separation Blind source separation Delay Signal resolution Speech processing Data communication Biomedical signal processing Signal processing algorithms Deconvolution vector clustering Blind source separation (BSS) convolutive mixture sparse signal decomposition/representation speech signals subspace projection time–frequency distribution (TFD) underdetermined/overcomplete representation
Content Type	Text
Resource Type	Article
Subject	Acoustics and Ultrasonics Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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