Wavelet de-noising for highly noisy source separation

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

Wavelet de-noising for highly noisy source separation

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

Research output: Contribution to journal › Conference article › peer-review

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 language	English (US)
Pages (from-to)	I/201-I/204
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	1
State	Published - 2002
Externally published	Yes
Event	2002 IEEE International Symposium on Circuits and Systems - Phoenix, AZ, United States Duration: May 26 2002 → May 29 2002

ASJC Scopus subject areas

Electrical and Electronic Engineering

Cite this

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title = "Wavelet de-noising for highly noisy source separation",

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.",

author = "A. Paraschiv-Ionescu and C. Jutten and K. Aminian and B. Najafi and Ph Robert",

year = "2002",

language = "English (US)",

volume = "1",

pages = "I/201--I/204",

journal = "Proceedings - IEEE International Symposium on Circuits and Systems",

issn = "0271-4310",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2002 IEEE International Symposium on Circuits and Systems ; Conference date: 26-05-2002 Through 29-05-2002",

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TY - JOUR

T1 - Wavelet de-noising for highly noisy source separation

AU - Paraschiv-Ionescu, A.

AU - Jutten, C.

AU - Aminian, K.

AU - Najafi, B.

AU - Robert, Ph

PY - 2002

Y1 - 2002

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0036280709&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0036280709&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:0036280709

VL - 1

SP - I/201-I/204

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

SN - 0271-4310

T2 - 2002 IEEE International Symposium on Circuits and Systems

Y2 - 26 May 2002 through 29 May 2002

ER -

Wavelet de-noising for highly noisy source separation

Abstract

ASJC Scopus subject areas

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