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Article Dans Une Revue IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences Année : 2003

Blind Separation of Independent Sources from Convolutive Mixtures

Résumé

The problem of separating blindly independent sources from a convolutive mixture cannot be addressed in its widest generality without resorting to statistics of order higher than two. The core of the problem is in fact to identify the para-unitary part of the mixture, which is addressed in this paper. With this goal, a family of statistical contrast is first defined. Then it is shown that the problem reduces to a Partial Approximate Joint Diagonalization (PAJOD) of several cumulant matrices. Then, a numerical algorithm is devised, which works block-wise, and sweeps all the output pairs. Computer simulations show the good behavior of the algorithm in terms of Symbol Error Rates, even on very short data blocks.
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hal-02100071 , version 1 (15-04-2019)

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  • HAL Id : hal-02100071 , version 1

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Pierre Comon, Ludwig Rota. Blind Separation of Independent Sources from Convolutive Mixtures. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2003, E86-A (3), pp.542-549. ⟨hal-02100071⟩
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