NDLI: Blind source separation based on a fast-convergence algorithm combining ICA and beamforming

Content Provider	IEEE Xplore Digital Library
Author	Saruwatari, H. Kawamura, T. Nishikawa, T. Lee, A. Shikano, K.
Copyright Year	2006
Abstract	We propose a new algorithm for blind source separation (BSS), in which independent component analysis (ICA) and beamforming are combined to resolve the slow-convergence problem through optimization in ICA. The proposed method consists of the following three parts: (a) frequency-domain ICA with direction-of-arrival (DOA) estimation, (b) null beamforming based on the estimated DOA, and (c) integration of (a) and (b) based on the algorithm diversity in both iteration and frequency domain. The unmixing matrix obtained by ICA is temporally substituted by the matrix based on null beamforming through iterative optimization, and the temporal alternation between ICA and beamforming can realize fast- and high-convergence optimization. The results of the signal separation experiments reveal that the signal separation performance of the proposed algorithm is superior to that of the conventional ICA-based BSS method, even under reverberant conditions.
Sponsorship	IEEE Signal Processing Society
Starting Page	666
Ending Page	678
Page Count	13
File Size	635627
File Format	PDF
ISSN	15587916
Volume Number	14
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-03-01
Publisher Place	U.S.A.
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Blind source separation Independent component analysis Array signal processing Source separation Frequency domain analysis Direction of arrival estimation Frequency estimation Iterative algorithms Matrices Diversity reception microphone array Beamforming blind source separation independent component analysis
Content Type	Text
Resource Type	Article
Subject	Acoustics and Ultrasonics Electrical and Electronic Engineering

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