A novel normalization and regularization scheme for broadband convolutive blind source separation

Conference contribution


Publication Details

Author(s): Aichner R, Buchner H, Kellermann W
Publisher: Springer
Publishing place: Berlin, Heidelberg
Publication year: 2006
Pages range: 527-535
ISBN: 9783540326304
Language: English


Abstract


In this paper we propose a novel blind source separation (BSS) algorithm for convolutive mixtures combining advantages of broadband algorithms with the computational efficiency of narrowband techniques. It is based on a recently presented generic broadband algorithm. By selective application of the Szegö theorem which relates properties of Toeplitz and circulant matrices, a new normalization is derived which approximates well the exact normalization of the generic broadband algorithm presented in [2]. The new scheme thus results in a computationally efficient and fast converging algorithm while still avoiding typical narrowband problems such as the internal permutation problem or circularity effects. Moreover, a novel regularization method for the generic broadband algorithm is proposed and subsequently also derived for the proposed algorithm. Experimental results in realistic acoustic environments show improved performance of the novel algorithm compared to previous approximations. © Springer-Verlag Berlin Heidelberg 2006.


FAU Authors / FAU Editors

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


How to cite

APA:
Aichner, R., Buchner, H., & Kellermann, W. (2006). A novel normalization and regularization scheme for broadband convolutive blind source separation. In Proceedings of the 6th International Conference on Independent Component Analysis and Blind Signal Separation, ICA 2006 (pp. 527-535). Charleston, SC, US: Berlin, Heidelberg: Springer.

MLA:
Aichner, Robert, Herbert Buchner, and Walter Kellermann. "A novel normalization and regularization scheme for broadband convolutive blind source separation." Proceedings of the 6th International Conference on Independent Component Analysis and Blind Signal Separation, ICA 2006, Charleston, SC Berlin, Heidelberg: Springer, 2006. 527-535.

BibTeX: 

Last updated on 2019-29-05 at 18:23