Source separation in strong noisy mixtures: a study of wavelet de-noising pre-processing

摘要

This paper addresses the source separation in strong noisy mixtures by using 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.