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Title
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Separation of Convolutive Mixtures of Cyclostationary Sources by Reference Contrasts
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Author
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K. Sabri, M. Taoufiki, A. Adib, D. Aboutajdine, M. El Badaoui, F. Guillet
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Citation |
Vol. 6 No. 3 pp. 224-229
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Abstract
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This paper introduces new source separation techniques exploiting the cyclostationarity property of the source signals. Two cyclostationary-based reference contrast functions are presented for convolutive mixtures and cyclostationary signals. Contrary to the major contrasts, any para-unitarity constraint is made on the mixing system. Their maximization enjoys identifiability properties, and aims at delivering outputs satisfying specific properties, such as statistical independence or a cyclostationarity character. Simulation examples are presented to illustrate the effectiveness of this approach in terms of the estimated source variances.
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Keywords
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Cyclic statistics, Blind Source Separation, Convolutive mixture, Reference contrast, Cyclostationarity.
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URL
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http://paper.ijcsns.org/07_book/200603/200603A32.pdf
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