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Blind separation of convolutive mixtures over Galois fields | IEEE Conference Publication | IEEE Xplore

Blind separation of convolutive mixtures over Galois fields


Abstract:

The efforts of Yeredor, Gutch, Gruber and Theis have established a theory of blind source separation (BSS) over finite fields that can be applied to linear and instantane...Show More

Abstract:

The efforts of Yeredor, Gutch, Gruber and Theis have established a theory of blind source separation (BSS) over finite fields that can be applied to linear and instantaneous mixing models. In this work, the problem is treated for the case of convolutive mixtures, for which the process of BSS must be understood in terms of space-time processing. A method based on minimum entropy and deflation is proposed, and structural conditions for perfect signal recovery are defined, establishing interesting points of contact with canonical MIMO equalization. Simulation results give support to the applicability of the proposed algorithm and also reveal the important role of efficient entropy estimation when the complexity of the mixing system is increased.
Date of Conference: 22-25 September 2013
Date Added to IEEE Xplore: 14 November 2013
Electronic ISBN:978-1-4799-1180-6

ISSN Information:

Conference Location: Southampton, UK

References

References is not available for this document.