Warped AR modelling and spectral estimation for EEG signals

  1. Lookup NU author(s)
  2. Dr Luis Peraza Rodriguez
Author(s)Peraza LR, Bouchereau F
Publication type Conference Proceedings (inc. Abstract)
Conference Name19th Biennial International EURASIP Conference Biosignal
Conference LocationBrno - Czech Republic
Year of Conference2008
Source Publication Date29 June -1 July 2008
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
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.
PublisherBrno University of Technology
ActionsLink to this publication
Library holdingsSearch Newcastle University Library for this item