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• W2138941179 abstract "The advantage of the algorithm proposed in this article is that it reduces a convolutive mixture to an instantaneous mixture by using only second-order statistics (but more sensors than sources), Furthermore, the sources can be separated by using any algorithm applicable to an instantaneous mixture. Otherwise, to ensure the convergence of our algorithm, we assume some classical assumptions for blind separation of sources and some added subspace assumptions. Finally, the assumptions concerning the subspace model and their properties are emphasized." @default.
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• W2138941179 date "2000-01-01" @default.
• W2138941179 modified "2023-10-12" @default.
• W2138941179 title "Adaptive subspace algorithm for blind separation of independent sources in convolutive mixture" @default.
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• W2138941179 doi "https://doi.org/10.1109/78.823990" @default.
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