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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| Format: | Article |
| Language: | English |
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Wiley
2007-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2007/48720 |
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| _version_ | 1832564386812657664 |
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| author | Nidal Kamel Andrews Samraj Arash Mousavi |
| author_facet | Nidal Kamel Andrews Samraj Arash Mousavi |
| author_sort | Nidal Kamel |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-1856f0f748664352992b2b8e6a56d1a6 |
| institution | Kabale University |
| issn | 1026-0226 1607-887X |
| language | English |
| publishDate | 2007-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-1856f0f748664352992b2b8e6a56d1a62025-02-03T01:11:08ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2007-01-01200710.1155/2007/4872048720Whitening of Background Brain Activity via Parametric ModelingNidal Kamel0Andrews Samraj1Arash Mousavi2Department of Electrical and Electronic Engineering, Universiti Teknologi Petronas, Bandar Seri Iskandar, Tronoh 31750, Perak, MalaysiaThe Faculty of Information Science and Technology, Multimedia University, Jalan Ayer Keroh Lama, Melaka 75450, MalaysiaThe Faculty of Information Science and Technology, Multimedia University, Jalan Ayer Keroh Lama, Melaka 75450, MalaysiaSeveral 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.http://dx.doi.org/10.1155/2007/48720 |
| spellingShingle | Nidal Kamel Andrews Samraj Arash Mousavi Whitening of Background Brain Activity via Parametric Modeling Discrete Dynamics in Nature and Society |
| 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 |
| url | http://dx.doi.org/10.1155/2007/48720 |
| work_keys_str_mv | AT nidalkamel whiteningofbackgroundbrainactivityviaparametricmodeling AT andrewssamraj whiteningofbackgroundbrainactivityviaparametricmodeling AT arashmousavi whiteningofbackgroundbrainactivityviaparametricmodeling |