Blind source separation in frequency domain
Signal Processing
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This paper addresses the problem of blind separation of convolutive mixtures via contrast maximization. New frequency-domain contrast functions are constructed based on second and higher-order spectra of the observations. They allow one to separate mixtures of sources which are spatially independent, and temporally possibly non i.i.d. linear or non-linear processes. The proposed criteria provide a framework for extending to the convolutive case contrasts that have been proposed in the context of instantaneous mixtures.