Title :
Source separation in strong noisy mixtures: A study of wavelet de-noising pre-processing
Author :
Paraschiv-Ionescu, Ani ; Jutten, C. ; Aminian, K. ; Najafi, B. ; Robert, Ph.
Author_Institution :
Swiss Federal Institute of Technology, Lausanne, Switzerland
Abstract :
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.
Keywords :
Barium; Discrete wavelet transforms; Noise measurement; Robustness; Signal to noise ratio; Source separation;
Conference_Titel :
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location :
Orlando, FL, USA
Print_ISBN :
0-7803-7402-9
DOI :
10.1109/ICASSP.2002.5744943
