DocumentCode
1730865
Title
Wavelet denoising for highly noisy source separation
Author
Paraschiv-Ionescu, A. ; Jutten, C. ; Aminian, K. ; Najafi, B. ; Robert, Ph.
Author_Institution
Swiss Fed. Inst. of Technol., Lausanne, Switzerland
Volume
1
fYear
2002
fDate
6/24/1905 12:00:00 AM
Abstract
The aim of this paper is to demonstrate that wavelet denoising processing is extremely attractive for efficient source separation of strong noisy mixtures. Systematic numerical simulations using source separation algorithms after wavelet denoising are used to provide quantitative evaluations of the efficiency of the method. The cases of correlated Gaussian and non-Gaussian noise are investigated, which open the way to various practical applications.
Keywords
Gaussian noise; interference suppression; signal processing; wavelet transforms; ICA; blind source separation; correlated Gaussian noise; correlated nonGaussian noise; independent component analysis; strong noisy mixtures; wavelet denoising; Additive noise; Additive white noise; Biomedical measurements; Discrete wavelet transforms; Gaussian noise; Independent component analysis; Noise measurement; Noise reduction; Source separation; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium on
Print_ISBN
0-7803-7448-7
Type
conf
DOI
10.1109/ISCAS.2002.1009812
Filename
1009812
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