A normalised kurtosis based blind source extraction algorithm for noisy mixtures

Wei Liu; Danilo P. Mandic

A normalised kurtosis based blind source extraction algorithm for noisy mixtures

Wei Liu, Danilo P. Mandic

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

4 Citations (Scopus)

Abstract

We introduce an algorithm for blind source extraction (BSE) of independent sources in the presence of noise, without the need for initial prewhitening, for which the normalised kurtosis is used within the cost function. Unlike the previously proposed methods designed for noise-free mixtures, which is not realistic in practical applications, we address BSE for noisy mixtures and propose a novel cost function which caters for the effects of noise. The proposed method is justified by rigorous analysis and supported by simulations.

Original language	English
Title of host publication	2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings
Pages	V641-V644
Publication status	Published - May 2006
Event	2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 - Toulouse, France Duration: 14 May 2006 → 19 May 2006

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	5
ISSN (Print)	1520-6149

Conference

Conference	2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006
Country/Territory	France
City	Toulouse
Period	14/05/06 → 19/05/06

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Cite this

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title = "A normalised kurtosis based blind source extraction algorithm for noisy mixtures",

abstract = "We introduce an algorithm for blind source extraction (BSE) of independent sources in the presence of noise, without the need for initial prewhitening, for which the normalised kurtosis is used within the cost function. Unlike the previously proposed methods designed for noise-free mixtures, which is not realistic in practical applications, we address BSE for noisy mixtures and propose a novel cost function which caters for the effects of noise. The proposed method is justified by rigorous analysis and supported by simulations.",

author = "Wei Liu and Mandic, {Danilo P.}",

year = "2006",

month = may,

language = "English",

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series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

pages = "V641--V644",

booktitle = "2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings",

note = "2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 ; Conference date: 14-05-2006 Through 19-05-2006",

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Liu, W & Mandic, DP 2006, A normalised kurtosis based blind source extraction algorithm for noisy mixtures. in 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings., 1661357, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 5, pp. V641-V644, 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006, Toulouse, France, 14/05/06.

A normalised kurtosis based blind source extraction algorithm for noisy mixtures. / Liu, Wei; Mandic, Danilo P.
2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings. 2006. p. V641-V644 1661357 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 5).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - We introduce an algorithm for blind source extraction (BSE) of independent sources in the presence of noise, without the need for initial prewhitening, for which the normalised kurtosis is used within the cost function. Unlike the previously proposed methods designed for noise-free mixtures, which is not realistic in practical applications, we address BSE for noisy mixtures and propose a novel cost function which caters for the effects of noise. The proposed method is justified by rigorous analysis and supported by simulations.

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M3 - Conference article published in proceeding or book

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T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

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BT - 2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings

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A normalised kurtosis based blind source extraction algorithm for noisy mixtures

Abstract

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ASJC Scopus subject areas

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