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Communication Dans Un Congrès Année : 2005

Underdetermined blind source seperation of non-disjoint nonstationary sources in the time-frequency domain

Résumé

This paper considers the blind separation of nonstationary sources in the underdetermined case, in which we have more sources than sensors. A recently proposed algorithm applied time-frequency distributions (TFDs) to this problem and gave good separation performances in the case where sources were disjoint in the time-frequency (TF) plane. However, in the non-disjoint case, the method simply relied on the interpolation at the intersection TF points implicitly performed by a TF synthesis algorithm, instead of directly treating these points. In this paper, we propose a new algorithm that combines the abovemen-tioned method with subspace projection in order to explicitly treat non-disjoint sources. Another contribution of this paper is the estimation of the mixing matrix in the underdetermined case.
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Dates et versions

hal-01771615 , version 1 (19-04-2018)

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Nguyen Linh-Trung, Abdeldjalil Aissa El Bey, Karim Abed-Meraim, Adel Belouchrani. Underdetermined blind source seperation of non-disjoint nonstationary sources in the time-frequency domain. Eighth International Symposium on Signal Processing and Its Applications (ISSPA), Aug 2005, Sydney, Australia. ⟨10.1109/ISSPA.2005.1580192⟩. ⟨hal-01771615⟩
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