A half-frequency domain approach for convolutive blind source separation based on Kullback-Leibler divergence

Mei Tiemin; Yin Fuliang; Xi Jiangtao; Alfred Mertins; Joe F. Chicharo

doi:10.1109/ISSPA.2005.1580187

A half-frequency domain approach for convolutive blind source separation based on Kullback-Leibler divergence

Mei Tiemin, Yin Fuliang, Xi Jiangtao, Alfred Mertins, Joe F. Chicharo

Institute of Signal Processing

Abstract

This paper studies the problem of blind separation of convolutive mixtures by means of Kullback-Leibler divergence in frequency domain. Unlike exiting approaches, an integrated objective function is defined in frequency-domain with time-domain parameters as the variables. The permutation problem is avoided through the frequency-domain integration and time-domain optimization. Simulation results show that the algorithm is valid and of high performance for the separation of real-world recorded convolutive mixtures.

Original language	English
Title of host publication	Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005
Number of pages	4
Publisher	IEEE
Publication date	01.12.2005
Pages	25-28
Article number	1580187
ISBN (Print)	0-7803-9243-4
DOIs	https://doi.org/10.1109/ISSPA.2005.1580187
Publication status	Published - 01.12.2005
Event	8th International Symposium on Signal Processing and its Applications - Sydney, Australia Duration: 28.08.2005 → 31.08.2005 Conference number: 69204

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Tiemin, M., Fuliang, Y., Jiangtao, X., Mertins, A., & Chicharo, J. F. (2005). A half-frequency domain approach for convolutive blind source separation based on Kullback-Leibler divergence. In Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005 (pp. 25-28). Article 1580187 (Proceedings of IEEE). IEEE. https://doi.org/10.1109/ISSPA.2005.1580187

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title = "A half-frequency domain approach for convolutive blind source separation based on Kullback-Leibler divergence",

abstract = "This paper studies the problem of blind separation of convolutive mixtures by means of Kullback-Leibler divergence in frequency domain. Unlike exiting approaches, an integrated objective function is defined in frequency-domain with time-domain parameters as the variables. The permutation problem is avoided through the frequency-domain integration and time-domain optimization. Simulation results show that the algorithm is valid and of high performance for the separation of real-world recorded convolutive mixtures.",

author = "Mei Tiemin and Yin Fuliang and Xi Jiangtao and Alfred Mertins and Chicharo, {Joe F.}",

year = "2005",

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Tiemin, M, Fuliang, Y, Jiangtao, X, Mertins, A & Chicharo, JF 2005, A half-frequency domain approach for convolutive blind source separation based on Kullback-Leibler divergence. in Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005., 1580187, Proceedings of IEEE, IEEE, pp. 25-28, 8th International Symposium on Signal Processing and its Applications, Sydney, New South Wales, Australia, 28.08.05. https://doi.org/10.1109/ISSPA.2005.1580187

A half-frequency domain approach for convolutive blind source separation based on Kullback-Leibler divergence. / Tiemin, Mei; Fuliang, Yin; Jiangtao, Xi et al.
Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005. IEEE, 2005. p. 25-28 1580187 (Proceedings of IEEE).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

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AU - Tiemin, Mei

AU - Fuliang, Yin

AU - Jiangtao, Xi

AU - Mertins, Alfred

AU - Chicharo, Joe F.

N1 - Conference code: 69204

PY - 2005/12/1

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N2 - This paper studies the problem of blind separation of convolutive mixtures by means of Kullback-Leibler divergence in frequency domain. Unlike exiting approaches, an integrated objective function is defined in frequency-domain with time-domain parameters as the variables. The permutation problem is avoided through the frequency-domain integration and time-domain optimization. Simulation results show that the algorithm is valid and of high performance for the separation of real-world recorded convolutive mixtures.

AB - This paper studies the problem of blind separation of convolutive mixtures by means of Kullback-Leibler divergence in frequency domain. Unlike exiting approaches, an integrated objective function is defined in frequency-domain with time-domain parameters as the variables. The permutation problem is avoided through the frequency-domain integration and time-domain optimization. Simulation results show that the algorithm is valid and of high performance for the separation of real-world recorded convolutive mixtures.

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M3 - Conference contribution

SN - 0-7803-9243-4

T3 - Proceedings of IEEE

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BT - Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005

PB - IEEE

T2 - 8th International Symposium on Signal Processing and its Applications

Y2 - 28 August 2005 through 31 August 2005

ER -

A half-frequency domain approach for convolutive blind source separation based on Kullback-Leibler divergence

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