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Whitening of background brain activity via parametric modeling

Several signal subspace techniques have been recently suggested for the extraction of the visual evoked potential signals from brain background colored noise. The majority of these techniques assume the background noise as white, and for colored noise, it is suggested to be whitened, without further...

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Main Authors: N., Kamel, A, Samraj, A, Mousavi
Format: Article
Published: HINDAWI PUBLISHING CORPORATION, 410 PARK AVENUE, 15TH FLOOR, #287 PMB, NEW YORK, NY 10022 USA 2007
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utp.edu.my/2328/1/SAMPLE_PAPER_PDF.pdf
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spelling my.utp.eprints.23282017-01-19T08:27:09Z Whitening of background brain activity via parametric modeling N., Kamel A, Samraj A, Mousavi TK Electrical engineering. Electronics Nuclear engineering Several signal subspace techniques have been recently suggested for the extraction of the visual evoked potential signals from brain background colored noise. The majority of these techniques assume the background noise as white, and for colored noise, it is suggested to be whitened, without further elaboration on how this might be done. In this paper, we investigate the whitening capabilities of two parametric techniques: a direct one based on Levinson solution of Yule-Walker equations, called AR Yule-Walker, and an indirect one based on the least-squares solution of forward-backward linear prediction ( FBLP) equations, called AR-FBLP. The whitening effect of the two algorithms is investigated with real background electroencephalogram ( EEG) colored noise and compared in time and frequency domains. Copyright (C) 2007. HINDAWI PUBLISHING CORPORATION, 410 PARK AVENUE, 15TH FLOOR, #287 PMB, NEW YORK, NY 10022 USA 2007 Article PeerReviewed application/pdf http://eprints.utp.edu.my/2328/1/SAMPLE_PAPER_PDF.pdf http://apps.isiknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=21&SID=V2M3DaJN@i6obPF9OiE&page=1&doc=1 N., Kamel and A, Samraj and A, Mousavi (2007) Whitening of background brain activity via parametric modeling. DISCRETE DYNAMICS IN NATURE AND SOCIETY (48720 ). ISSN 1026-0226 http://eprints.utp.edu.my/2328/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
N., Kamel
A, Samraj
A, Mousavi
Whitening of background brain activity via parametric modeling
description Several signal subspace techniques have been recently suggested for the extraction of the visual evoked potential signals from brain background colored noise. The majority of these techniques assume the background noise as white, and for colored noise, it is suggested to be whitened, without further elaboration on how this might be done. In this paper, we investigate the whitening capabilities of two parametric techniques: a direct one based on Levinson solution of Yule-Walker equations, called AR Yule-Walker, and an indirect one based on the least-squares solution of forward-backward linear prediction ( FBLP) equations, called AR-FBLP. The whitening effect of the two algorithms is investigated with real background electroencephalogram ( EEG) colored noise and compared in time and frequency domains. Copyright (C) 2007.
format Article
author N., Kamel
A, Samraj
A, Mousavi
author_facet N., Kamel
A, Samraj
A, Mousavi
author_sort N., Kamel
title Whitening of background brain activity via parametric modeling
title_short Whitening of background brain activity via parametric modeling
title_full Whitening of background brain activity via parametric modeling
title_fullStr Whitening of background brain activity via parametric modeling
title_full_unstemmed Whitening of background brain activity via parametric modeling
title_sort whitening of background brain activity via parametric modeling
publisher HINDAWI PUBLISHING CORPORATION, 410 PARK AVENUE, 15TH FLOOR, #287 PMB, NEW YORK, NY 10022 USA
publishDate 2007
url http://eprints.utp.edu.my/2328/1/SAMPLE_PAPER_PDF.pdf
http://apps.isiknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=21&SID=V2M3DaJN@i6obPF9OiE&page=1&doc=1
http://eprints.utp.edu.my/2328/
_version_ 1738655183640985600
score 13.211869

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