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Title

Separation of Convolutive Mixtures of Cyclostationary Sources by Reference Contrasts

Author

K. Sabri, M. Taoufiki, A. Adib, D. Aboutajdine, M. El Badaoui, F. Guillet

Citation

Vol. 6  No. 3  pp. 224-229

Abstract

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.

Keywords

Cyclic statistics, Blind Source Separation, Convolutive mixture, Reference contrast, Cyclostationarity.

URL

http://paper.ijcsns.org/07_book/200603/200603A32.pdf