Source separation in strong noisy mixtures: A study of wavelet de-noising pre-processing
Anisoara Paraschiv-Ionescu, Christian Jutten, Kamiar Aminian, Bijan Najafi, Ph. A. Robert · IEEE International Conference on Acoustics Speech and Signal Processing · 2002
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.