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An analytical derivation for second-order blind separation of two signals

  • Abdelfettah Meziane Bentahar Meziane
  • Thierry Chonavel
  • Abdeldjalil Aïssa-El-Bey
  • Adel Belouchrani
Article

Abstract

In this paper, we propose analytical formulas that involve second-order statistics for separating two signals. The method utilizes source decorrelation and correlation function diversity. In particular, the proposed SOBAS (second-order blind analytical separation) algorithm differs from the ASOBI (analytical second-order blind identification) algorithm in that it does not require prior knowledge or estimation of the noise variance. Computer simulations demonstrate the effectiveness of the proposed method.

Keywords

Blind source separation Second-order statistics TITO systems 

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Copyright information

© Institut Mines-Télécom and Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Abdelfettah Meziane Bentahar Meziane
    • 1
  • Thierry Chonavel
    • 2
  • Abdeldjalil Aïssa-El-Bey
    • 2
  • Adel Belouchrani
    • 1
  1. 1.Ecole Nationale PolytechniqueAlgiersAlgeria
  2. 2.IMT Atlantique, UMR CNRS 6285 Lab-STICC, UBLBrest CedexFrance

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