Two Time-Frequency Ratio-Based Blind Source Separation Methods for Time-Delayed Mixtures

  • Matthieu Puigt
  • Yannick Deville
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3889)


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.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Matthieu Puigt
    • 1
  • Yannick Deville
    • 1
  1. 1.Laboratoire d’Astrophysique de Toulouse-TarbesObservatoire Midi-Pyrénées – Université Paul Sabatier Toulouse 3ToulouseFrance

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