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

  • 05-04-2018
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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.

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Title
An analytical derivation for second-order blind separation of two signals
Authors
Abdelfettah Meziane Bentahar Meziane
Thierry Chonavel
Abdeldjalil Aïssa-El-Bey
Adel Belouchrani
Publication date
05-04-2018
Publisher
Springer International Publishing
Published in
Annals of Telecommunications / Issue 11-12/2018
Print ISSN: 0003-4347
Electronic ISSN: 1958-9395
DOI
https://doi.org/10.1007/s12243-018-0635-6
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