Blind separation of jointly stationary correlated sources

Authors:
M. R. Aghabozorgi;A. M. Doost-Hoseini
Affiliations:
Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84154, Iran;Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84154, Iran
Venue:
Signal Processing - Special issue on independent components analysis and beyond
Year:
2004

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Abstract

The separation of unobserved sources from mixed observed data is a fundamental signal processing problem. Most of the proposed techniques for solving this problem rely on independence or at least uncorrelation assumption of source signals.This paper introduces a technique for cases that source signals are correlated with each other. The method uses Wold decomposition principle for extracting desired and proper information from the predictable part of the observed data, and exploits approaches based on second-order statistics to estimate the mixing matrix and source signals. Simulation results illustrate the effectiveness of the method.