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.
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Ali MANSOUR, Allan Kardec BARROS, Noboru OHNISHI, "Blind Separation of Sources: Methods, Assumptions and Applications" in IEICE TRANSACTIONS on Fundamentals,
vol. E83-A, no. 8, pp. 1498-1512, August 2000, doi: .
Abstract: 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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e83-a_8_1498/_p
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@ARTICLE{e83-a_8_1498,
author={Ali MANSOUR, Allan Kardec BARROS, Noboru OHNISHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Blind Separation of Sources: Methods, Assumptions and Applications},
year={2000},
volume={E83-A},
number={8},
pages={1498-1512},
abstract={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.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - Blind Separation of Sources: Methods, Assumptions and Applications
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1498
EP - 1512
AU - Ali MANSOUR
AU - Allan Kardec BARROS
AU - Noboru OHNISHI
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E83-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2000
AB - 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.
ER -