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

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A. Paraschiv-Ionescu; C. Jutten; K. Aminian; B. Najafi; Ph. Robert
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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...Show More

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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.
Published in: 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing
Date of Conference: 13-17 May 2002
Date Added to IEEE Xplore: 07 April 2011
Print ISBN:0-7803-7402-9
Print ISSN: 1520-6149
DOI: 10.1109/ICASSP.2002.5744943
Conference Location: Orlando, FL, USA
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