Two time-frequency ratio-based blind source separation methods for time-delayed mixtures

Authors:
Matthieu Puigt;Yannick Deville
Affiliations:
Laboratoire d’Astrophysique de Toulouse-Tarbes, Observatoire Midi-Pyrénées – Université Paul Sabatier Toulouse 3, Toulouse, France;Laboratoire d’Astrophysique de Toulouse-Tarbes, Observatoire Midi-Pyrénées – Université Paul Sabatier Toulouse 3, Toulouse, France
Venue:
ICA'06 Proceedings of the 6th international conference on Independent Component Analysis and Blind Signal Separation
Year:
2006

Citing 2
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Abstract

We propose two time-frequency (TF) blind source separation (BSS) methods suited to attenuated and delayed (AD) mixtures. They consist in identifying the columns of the (filtered permuted) mixing matrix in Constant-Time TF zones where they detect that a single source occurs, using TIme-Frequency Ratios Of Mixtures (hence their name AD-TIFROM-CT). We thus identify columns of scale coefficients and time shifts. Unlike various previously reported TF-BSS approaches, these methods set very limited constraints on the source sparsity and overlap. They are especially suited to non-stationary sources.