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Lookup NU author(s): Dr Luis Peraza RodriguezORCiD
This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by Brno University of Technology, 2008.
For re-use rights please refer to the publisher's terms and conditions.
Warped autoregressive (WAR) models are proposed for the obtention of reduced order and high quality power spectral density estimators for EEG signals. The use of WAR-based versus linear AR-based PSD estimators allowed comparable quality estimates in the alpha band with considerably less number of coefficients when applied to real EEG data. WAR-based models may improve the performance of quantitative EEG algorithms while decreasing their computational load, complexity, and memory requirements.
Author(s): Peraza LR, Bouchereau F
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 19th Biennial International EURASIP Conference Biosignal (BIOSIGNAL 2008)
Year of Conference: 2008
Pages: 12-12
Online publication date: 29/06/2008
Date deposited: 07/12/2012
ISSN: 1211-412X
Publisher: Brno University of Technology
Library holdings: Search Newcastle University Library for this item
ISBN: 9788021436121
