Approximate Joint Diagonalization for ARMA Dependent Source Separation
ID:119 View Protection:ATTENDEE Updated Time:2020-08-05 10:17:28 Hits:361 Oral Presentation

Start Time:2020-06-08 15:00(Asia/Shanghai)


Session:S Special Session » SS14Dependent Source Separation

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In this paper, an Approximate Joint Diagonalization (AJD) approach is proposed to separate dependent source signals. The diagonal structure of the Auto Regressive Moving Average (ARMA) matrix coefficients moves the problem from Blind Source Separation (BSS) to AJD one. The identified matrix coefficients of the observed signal are jointly diagonalized to achieve the mixture matrix identification. Simulation results are provided to illustrate the effectiveness of the proposed approach.
Source Separation; Auto regressive moving average signal; Dependent sources; Approximate joint diagonalization
Saliha Meziani
Ecole Militaire Polytechnique, Algeria

Submission Author
Saliha Meziani Ecole Militaire Polytechnique, Algeria
Adel Belouchrani Ecole Nationale Polythechnique, Algiers, Algeria
Karim Abed-Meraim University of Orleans & PRISME Lab., France
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