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, TimeFrequency domain, overcomplete orunderdetermined 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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