TRINICON-based Blind System Identification with Application to Multiple-Source Localization and Separation

Author:

Buchner Herbert,Aichner Robert,Kellermann Walter

Publisher

Springer Netherlands

Reference70 articles.

1. H. Buchner, R. Aichner, and W. Kellermann, “Blind source separation for convolutive mixtures exploiting nongaussianity, nonwhiteness, and nonstation-arity,” in Proc. Int. Workshop Acoustic Echo and Noise Control (IWAENC), Kyoto, Japan, pp. 223-226, Sept. 2003.

2. H. Buchner, R. Aichner, and W. Kellermann, “Blind source separation for convolutive mixtures: A unified treatment,” in Y. Huang and J. Benesty (eds.), Audio Signal Processing for Next-Generation Multimedia Communica-tion Systems, Kluwer Academic Publishers, Boston, pp. 255-293, Feb. 2004.

3. H. Buchner, R. Aichner, and W. Kellermann, “TRINICON: A versatile frame-work for multichannel blind signal processing,” in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing (ICASSP), Montreal, Canada, vol. 3, pp. 889-892, May 2004.

4. H. Buchner, R. Aichner, and W. Kellermann, “A generalization of blind source separation algorithms for convolutive mixtures based on second-order statis-tics,” IEEE Trans. Speech Audio Process., vol. 13, no. 1, pp. 120-134, Jan. 2005.

5. H. Buchner, R. Aichner, and W. Kellermann, “Relation between blind system identification and convolutive blind source separation,” in Proc. Joint Work-shop Hands-Free Speech Communication and Microphone Arrays (HSCMA), Piscataway, NJ, USA, Mar. 2005 (additional presentation slides with more results downloadable from the web site www.LNT.de/lms/ ).

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