A time-frequency approach to blind separation of under-determined mixture of sources

Ali Mansour (1) , Mitsuru Kawamoto (2) , Puntonet Carlos (3)

1 Lab-STICC_ENSTAB_CACS_COM
2 AIST - Advanced Industrial Science and technology
3 Depart of Computer Science

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 separate 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. KEY WORDS ICA, BSS, Time-Frequency domain, over-complete or under-determined mixtures

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Ali Mansour, Mitsuru Kawamoto, Puntonet Carlos. A time-frequency approach to blind separation of under-determined mixture of sources. International Conference on APPLIED SIMULATION AND MODELLING, ASM 2003, Sep 2003, Marbella, Spain. ⟨hal-00802784⟩