Second Order Nonstationary Source Separation

Authors:
Seungjin Choi;Andrzej Cichocki;Adel Beloucharni
Affiliations:
Department of Computer Science and Engineering, POSTECH, Korea;Lab for Advanced Brain Signal Processing, Brain Science Institute, RIKEN, Japan&semi/ Warsaw University of Technology, Poland;Department of Electrical Engineering, Ecole Nationale Polytechnique, Algeria
Venue:
Journal of VLSI Signal Processing Systems
Year:
2002

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Abstract

This paper addresses a method of blind source separation that jointly exploits the nonstationarity and temporal structure of sources. The method needs only multiple time-delayed correlation matrices of the observation data, each of which is evaluated at different time-windowed data frame, to estimate the demixing matrix. The method is insensitive to the temporally white noise since it is based on only time-delayed correlation matrices (with non-zero time-lags) and is applicable to the case of either nonstationary sources or temporally correlated sources. We also discuss the extension of some existing methods with the overview of second-order blind source separation methods. Extensive numerical experiments confirm the validity and high performance of the proposed method.