A Time-frequency Approach to Blind Separation of Under-determined Mixture of Sources

A. Mansour (France), M. Kawamoto (Japan), and C. Puntonet (Spain)


ICA, BSS, Time-Frequency domain, over-complete orunder-determined mixtures


This paper deals with the problem of blind separation of under-determined or over-complete mixtures (i.e. more sources than sensors). At first a global scheme to sepa rate under-determined mixtures is presented. Then a new approach based on time-frequency representations (TFR) is discussed. Finally, some experiments are conducted and some experimental results are given.

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