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
Language:English
Published: HINDAWI PUBLISHING CORPORATION, 410 PARK AVENUE, 15TH FLOOR, #287 PMB, NEW YORK, NY 10022 USA 2007
Subjects:
Online Access:http://scholars.utp.edu.my/id/eprint/2328/
http://scholars.utp.edu.my/id/eprint/2328/1/SAMPLE_PAPER_PDF.pdf
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author N., Kamel
A, Samraj
A, Mousavi
author_facet N., Kamel
A, Samraj
A, Mousavi
author_sort N., Kamel
building UTP Institutional Repository
collection Online Access
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.
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spelling oai:scholars.utp.edu.my:23282017-01-19T08:27:09Z http://scholars.utp.edu.my/id/eprint/2328/ 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 en http://scholars.utp.edu.my/id/eprint/2328/1/SAMPLE_PAPER_PDF.pdf 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://apps.isiknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=21&SID=V2M3DaJN@i6obPF9OiE&page=1&doc=1 10.1155/2007/48720 10.1155/2007/48720
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
N., Kamel
A, Samraj
A, Mousavi
Whitening of background brain activity via parametric modeling
title 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_short Whitening of background brain activity via parametric modeling
title_sort whitening of background brain activity via parametric modeling
topic TK Electrical engineering. Electronics Nuclear engineering
url http://scholars.utp.edu.my/id/eprint/2328/
http://scholars.utp.edu.my/id/eprint/2328/
http://scholars.utp.edu.my/id/eprint/2328/
http://scholars.utp.edu.my/id/eprint/2328/1/SAMPLE_PAPER_PDF.pdf