Abstract

This paper addresses the source separation in strong noisy mixtures by wavelet de-noising processing. Experiments include the cases of white/correlated Gaussian and non- Gaussian noise, which correspond to various applications. The performance of BSS/ICA algorithms after wavelet de- noising is quantitatively investigated, and points out the efficiency of the method.

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