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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1681-1684 |
| Number of pages | 4 |
| Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
| Volume | 2 |
| DOIs | |
| State | Published - Jan 1 2002 |
ASJC Scopus subject areas
- Software
- Signal Processing
- Electrical and Electronic Engineering
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Paraschiv-Ionescu, A., Jutten, C., Aminian, K., Najafi, B., & Robert, P. (2002). Source separation in strong noisy mixtures: A study of wavelet de-noising pre-processing. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2, 1681-1684. https://doi.org/10.1109/ICASSP.2002.5744943