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A simplified informax approach for blind signal separation

Conference Paper


Abstract


  • This paper proposes a simplified training algorithm for blind separation of speech signals based on the principle of entropy maximization. Compared to the algorithms Amari and Cichocki (see Proc. of IEEE, vol.86, no.10, p.2026-48, 1998), the proposed approach leads to lower computational burden while yielding comparable performance. © 1999 IEEE.

Publication Date


  • 1999

Citation


  • Xi, J., Chicharo, J. F., & Reilly, J. P. (1999). A simplified informax approach for blind signal separation. In ISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications Vol. 1 (pp. 43-46). doi:10.1109/ISSPA.1999.818108

Scopus Eid


  • 2-s2.0-84904411485

Web Of Science Accession Number


Start Page


  • 43

End Page


  • 46

Volume


  • 1

Abstract


  • This paper proposes a simplified training algorithm for blind separation of speech signals based on the principle of entropy maximization. Compared to the algorithms Amari and Cichocki (see Proc. of IEEE, vol.86, no.10, p.2026-48, 1998), the proposed approach leads to lower computational burden while yielding comparable performance. © 1999 IEEE.

Publication Date


  • 1999

Citation


  • Xi, J., Chicharo, J. F., & Reilly, J. P. (1999). A simplified informax approach for blind signal separation. In ISSPA 1999 - Proceedings of the 5th International Symposium on Signal Processing and Its Applications Vol. 1 (pp. 43-46). doi:10.1109/ISSPA.1999.818108

Scopus Eid


  • 2-s2.0-84904411485

Web Of Science Accession Number


Start Page


  • 43

End Page


  • 46

Volume


  • 1