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Blind separation and restoration of signals mixed in convolutive environment

Conference Paper


Abstract

  • This paper proposes new neural network approaches for separating and restoring signals mixed through FIR channels. Firstly, a set of maximal entropy based train rules are developed. Secondly, a new scheme for restoring the original signals is proposed for the 2×2 case. Computer simulation results for speech signals are presented to verify the proposed approaches.

Publication Date

  • 1997

Citation

  • Xi, J., & Reilly, J. P. (1997). Blind separation and restoration of signals mixed in convolutive environment. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings Vol. 2 (pp. 1327-1330).

Scopus Eid

  • 2-s2.0-0030711165

Start Page

  • 1327

End Page

  • 1330

Volume

  • 2

Abstract

  • This paper proposes new neural network approaches for separating and restoring signals mixed through FIR channels. Firstly, a set of maximal entropy based train rules are developed. Secondly, a new scheme for restoring the original signals is proposed for the 2×2 case. Computer simulation results for speech signals are presented to verify the proposed approaches.

Publication Date

  • 1997

Citation

  • Xi, J., & Reilly, J. P. (1997). Blind separation and restoration of signals mixed in convolutive environment. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings Vol. 2 (pp. 1327-1330).

Scopus Eid

  • 2-s2.0-0030711165

Start Page

  • 1327

End Page

  • 1330

Volume

  • 2