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In this paper, we address the problem of blind source separation of non circular digital communication signals. An optimal combination of statistics obtained from fourth order cumulants that achieves the separation of non-circular sources is proposed.
In this communication, we consider the problem of the joint- diagonalization of square complex tensors through a least- squares approach. In particular, this allows us to show that recent joint-diagonalization criteria used in source separation can be seen as based on a least-squares criterion. Using the proposed criteria, we propose a Jacobi-like algorithm for the decomposition of symmetric third...
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