On the causality problem in time-domain blind source separation and deconvolution algorithms

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Aichner R, Buchner H, Kellermann W
Publisher: Institute of Electrical and Electronics Engineers Inc.
Publication year: 2005
ISBN: 9780780388741


Abstract


Based on a recently presented generic framework for multichannel blind signal processing for convolutive mixtures we investigate in this paper the problem of incorporating acausal delays which are necessary with certain geometric constellations. Starting from a generic update equation which is applicable to blind source separation (BSS), multichannel blind deconvolution (MCBD), and multichannel blind partial deconvolution (MCBPD) for dereverberation of speech signals, two formulations of the natural gradient are derived. It is shown that one expression is applicable to mere causal filters whereas the other one also allows an implementation of noncausal filters. Moreover, proper initialization methods for both cases are given. For the implementation of the aforementioned algorithms cross-relation estimation techniques known from linear prediction are discussed. Based on these results, relationships between traditional MCBD algorithms can be established. Experimental results of different acoustic scenarios show the applicability of the presented algorithms. © 2005 IEEE.



FAU Authors / FAU Editors

Kellermann, Walter Prof. Dr.-Ing.
Professur für Nachrichtentechnik


How to cite

APA:
Aichner, R., Buchner, H., & Kellermann, W. (2005). On the causality problem in time-domain blind source separation and deconvolution algorithms. In Proceedings of the 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05. Philadelphia, PA, US: Institute of Electrical and Electronics Engineers Inc..

MLA:
Aichner, Robert, Herbert Buchner, and Walter Kellermann. "On the causality problem in time-domain blind source separation and deconvolution algorithms." Proceedings of the 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05, Philadelphia, PA Institute of Electrical and Electronics Engineers Inc., 2005.

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Last updated on 2019-03-06 at 07:10