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

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

Research output: Contribution to journalArticle

16 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1681-1684
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2
DOIs
StatePublished - Jan 1 2002

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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