Blind source extraction of instantaneous noisy mixtures using a linear predictor

Wei Liu; Danilo P. Mandic; Andrzej Cichocki

Blind source extraction of instantaneous noisy mixtures using a linear predictor

Wei Liu, Danilo P. Mandic, Andrzej Cichocki

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

10 Citations (Scopus)

Abstract

The blind source extraction (BSE) problem for noisy measurements is addressed using the linear predictor method. Based on a previously proposed method for the noise-free case, we propose a new cost function with the effect of noise removed. Two novel adaptive algorithms are next introduced, one of which is based on minimisation of the normalised mean square prediction error (MSPE), whereas the other minimises the MSPE using prewhitening followed by regularisation of the demixing vector. The successful operation of these new algorithms requires the knowledge of the correlation matrix of noise.

Original language	English
Title of host publication	ISCAS 2006
Subtitle of host publication	2006 IEEE International Symposium on Circuits and Systems, Proceedings
Pages	4199-4202
Number of pages	4
Publication status	Published - May 2006
Event	ISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems - Kos, Greece Duration: 21 May 2006 → 24 May 2006

Publication series

Name	Proceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)	0271-4310

Conference

Conference	ISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems
Country/Territory	Greece
City	Kos
Period	21/05/06 → 24/05/06

ASJC Scopus subject areas

Electrical and Electronic Engineering

Cite this

@inproceedings{4c9fb62cd39b4f93abe3e427f1340429,

title = "Blind source extraction of instantaneous noisy mixtures using a linear predictor",

abstract = "The blind source extraction (BSE) problem for noisy measurements is addressed using the linear predictor method. Based on a previously proposed method for the noise-free case, we propose a new cost function with the effect of noise removed. Two novel adaptive algorithms are next introduced, one of which is based on minimisation of the normalised mean square prediction error (MSPE), whereas the other minimises the MSPE using prewhitening followed by regularisation of the demixing vector. The successful operation of these new algorithms requires the knowledge of the correlation matrix of noise.",

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

year = "2006",

month = may,

language = "English",

isbn = "0780393902",

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

pages = "4199--4202",

booktitle = "ISCAS 2006",

note = "ISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems ; Conference date: 21-05-2006 Through 24-05-2006",

}

Liu, W, Mandic, DP & Cichocki, A 2006, Blind source extraction of instantaneous noisy mixtures using a linear predictor. in ISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems, Proceedings., 1693555, Proceedings - IEEE International Symposium on Circuits and Systems, pp. 4199-4202, ISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems, Kos, Greece, 21/05/06.

Blind source extraction of instantaneous noisy mixtures using a linear predictor. / Liu, Wei; Mandic, Danilo P.; Cichocki, Andrzej.
ISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems, Proceedings. 2006. p. 4199-4202 1693555 (Proceedings - IEEE International Symposium on Circuits and Systems).

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

TY - GEN

T1 - Blind source extraction of instantaneous noisy mixtures using a linear predictor

AU - Liu, Wei

AU - Mandic, Danilo P.

AU - Cichocki, Andrzej

PY - 2006/5

Y1 - 2006/5

N2 - The blind source extraction (BSE) problem for noisy measurements is addressed using the linear predictor method. Based on a previously proposed method for the noise-free case, we propose a new cost function with the effect of noise removed. Two novel adaptive algorithms are next introduced, one of which is based on minimisation of the normalised mean square prediction error (MSPE), whereas the other minimises the MSPE using prewhitening followed by regularisation of the demixing vector. The successful operation of these new algorithms requires the knowledge of the correlation matrix of noise.

AB - The blind source extraction (BSE) problem for noisy measurements is addressed using the linear predictor method. Based on a previously proposed method for the noise-free case, we propose a new cost function with the effect of noise removed. Two novel adaptive algorithms are next introduced, one of which is based on minimisation of the normalised mean square prediction error (MSPE), whereas the other minimises the MSPE using prewhitening followed by regularisation of the demixing vector. The successful operation of these new algorithms requires the knowledge of the correlation matrix of noise.

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M3 - Conference article published in proceeding or book

AN - SCOPUS:34547299873

SN - 0780393902

SN - 9780780393905

T3 - Proceedings - IEEE International Symposium on Circuits and Systems

SP - 4199

EP - 4202

BT - ISCAS 2006

T2 - ISCAS 2006: 2006 IEEE International Symposium on Circuits and Systems

Y2 - 21 May 2006 through 24 May 2006

ER -

Blind source extraction of instantaneous noisy mixtures using a linear predictor

Abstract

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Conference

ASJC Scopus subject areas

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