Lookup NU author(s): Dr Luis Peraza Rodriguez
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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)
Conference Name: 19th Biennial International EURASIP Conference Biosignal
Year of Conference: 2008
Publisher: Brno University of Technology
Library holdings: Search Newcastle University Library for this item