TY - JOUR
T1 - Source separation in strong noisy mixtures
T2 - A study of wavelet de-noising pre-processing
AU - Paraschiv-Ionescu, A.
AU - Jutten, C.
AU - Aminian, K.
AU - Najafi, B.
AU - Robert, P.
PY - 2002/1/1
Y1 - 2002/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=14844324646&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=14844324646&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2002.5744943
DO - 10.1109/ICASSP.2002.5744943
M3 - Article
AN - SCOPUS:14844324646
VL - 2
SP - 1681
EP - 1684
JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
JF - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
SN - 0736-7791
ER -