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IEICE TRANSACTIONS on Fundamentals

Blind Separation of Sources: Methods, Assumptions and Applications

Ali MANSOUR, Allan Kardec BARROS, Noboru OHNISHI

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Summary :

The blind separation of sources is a recent and important problem in signal processing. Since 1984, it has been studied by many authors whilst many algorithms have been proposed. In this paper, the description of the problem, its assumptions, its currently applications and some algorithms and ideas are discussed.

Publication
IEICE TRANSACTIONS on Fundamentals Vol.E83-A No.8 pp.1498-1512
Publication Date
2000/08/25
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Type of Manuscript
Special Section SURVEY PAPER (Special Section on Digital Signal Processing)
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