Wavelet de-noising for highly noisy source separation

A. Paraschiv-Ionescu, C. Jutten, K. Aminian, B. Najafi, Ph Robert

Research output: Contribution to journalConference article

22 Scopus citations

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 de-noising 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.

Original languageEnglish (US)
Pages (from-to)I/201-I/204
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume1
StatePublished - Jan 1 2002
Event2002 IEEE International Symposium on Circuits and Systems - Phoenix, AZ, United States
Duration: May 26 2002May 29 2002

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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  • Cite this

    Paraschiv-Ionescu, A., Jutten, C., Aminian, K., Najafi, B., & Robert, P. (2002). Wavelet de-noising for highly noisy source separation. Proceedings - IEEE International Symposium on Circuits and Systems, 1, I/201-I/204.