6th International Conference on Signal Processing, 2002. 2002
DOI: 10.1109/icosp.2002.1181061
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Evaluation of fast convergence algorithm for blind source separation of real convolutive mixture

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Cited by 3 publications
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“…Contributions from the same source are likely to come from the same spatial direction, so that the position information of sources can be exploited [10,19,20].…”
Section: Introductionmentioning
confidence: 99%
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“…Contributions from the same source are likely to come from the same spatial direction, so that the position information of sources can be exploited [10,19,20].…”
Section: Introductionmentioning
confidence: 99%
“…Secondly, BSS approaches developed for instantaneous mixture separation are exploited for each of the frequency bins, and finally, separated signals of all the frequency bins are combined together to form the separated outputs. It has been shown that satisfactory separation can be achieved within all the frequency bins, but combining them together to recover the original sources is a challenging issue due to the unknown permutations associated with BSS of individual frequency bins [2,[7][8][9][10][11][12][13].…”
Section: Introductionmentioning
confidence: 99%