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Exploiting Narrowband Efficiency for Broadband Convolutive Blind Source Separation

EURASIP Journal on Advances in Signal Processing volume 2007, Article number: 016381 (2006) Cite this article

Abstract

Based on a recently presented generic broadband blind source separation (BSS) algorithm for convolutive mixtures, we propose in this paper a novel algorithm combining advantages of broadband algorithms with the computational efficiency of narrowband techniques. By selective application of the Szegö theorem which relates properties of Toeplitz and circulant matrices, a new normalization is derived as a special case of the generic broadband algorithm. This results in a computationally efficient and fast converging algorithm without introducing 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.

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Authors and Affiliations

  1. Multimedia Communications and Signal Processing, University of Erlangen-Nuremberg, Cauerstraβe 7, Erlangen, 91058, Germany

    Robert Aichner, Herbert Buchner & Walter Kellermann

Authors
  1. Robert Aichner
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  2. Herbert Buchner
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  3. Walter Kellermann
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Corresponding author

Correspondence to Robert Aichner.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Aichner, R., Buchner, H. & Kellermann, W. Exploiting Narrowband Efficiency for Broadband Convolutive Blind Source Separation. EURASIP J. Adv. Signal Process. 2007, 016381 (2006). https://doi.org/10.1155/2007/16381

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  • DOI: https://doi.org/10.1155/2007/16381

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