Exploiting source non stationary and coloration in blind source separation

D.-T. Pham · 2003

A new method for blind source separation of instantaneous mixtures is developed. It exploits both the spectral and time diversity of the sources and is based on Gaussian mutual information. As a result, it uses only second order statistics and can be efficiently implemented through a joint diagonalization algorithm. Simulation results illustrate the good performance of the method.

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