Blind separation of cyclostationary sources using joint block approximate diagonalization

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Abstract

This paper introduces an extension of an earlier method of the author for separating stationary sources, based on the joint approximated diagonalization of interspectral matrices, to the case of cyclostationary sources, to take advantage of their cyclostationarity. the proposed method is based on the joint block approximate diagonlization of cyclic interspectral density. An algorithm for this diagonalization is described. Some simulation experiments are provided, showing the good performance of the method. © Springer-Verlag Berlin Heidelberg 2007.

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Pham, D. T. (2007). Blind separation of cyclostationary sources using joint block approximate diagonalization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4666 LNCS, pp. 244–251). Springer Verlag. https://doi.org/10.1007/978-3-540-74494-8_31

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