Aichner R, Buchner H, Yan F, Kellermann W (2006)
Publication Language: English
Publication Status: Published
Publication Type: Journal article, Original article
Publication year: 2006
Publisher: Elsevier
Book Volume: 86
Pages Range: 1260-1277
Journal Issue: 6
DOI: 10.1016/j.sigpro.2005.06.022
In this paper, we present an efficient real-time implementation of a broadband algorithm for blind source separation (BSS) of convolutive mixtures. A recently introduced generic BSS framework based on a matrix formulation allows simultaneous exploitation of nonwhiteness and nonstationarity of the source signals using second-order statistics. We demonstrate here that this general scheme leads to highly efficient real-time algorithms based on block-online adaptation suitable for ordinary PC platforms. Moreover, we investigate the problem of incorporating noncausal delays which are necessary with certain geometric constellations. Furthermore, the robustness against diffuse background noise, e.g., in a car environment is examined and a stepsize control is proposed which further enhances the robustness in real-world environments and leads to an improvement in separation performance. The algorithms were investigated in a reverberant office room and in noisy car environments verifying that the proposed method ensures high separation performance in realistic scenarios. © 2005 Elsevier B.V. All rights reserved.
APA:
Aichner, R., Buchner, H., Yan, F., & Kellermann, W. (2006). A real-time blind source separation scheme and its application to reverberant and noisy acoustic environments. Signal Processing, 86(6), 1260-1277. https://doi.org/10.1016/j.sigpro.2005.06.022
MLA:
Aichner, Robert, et al. "A real-time blind source separation scheme and its application to reverberant and noisy acoustic environments." Signal Processing 86.6 (2006): 1260-1277.
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