Warped AR modelling and spectral estimation for EEG signals
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- Dr Luis Peraza Rodriguez
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| Author(s) | | Peraza LR, Bouchereau F |
| Editor(s) | | |
| Publication type | | Conference Proceedings (inc. Abstract) |
| Conference Name | | 19th Biennial International EURASIP Conference Biosignal |
| Conference Location | | Brno - Czech Republic |
| Year of Conference | | 2008 |
| Date | | 29 June -1 July 2008 |
| Volume | | |
| Pages | | 12-12 |
| ISBN | | 9788021436121 |
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| Full text for this publication is not currently held within this repository. Alternative links are provided below where available. |
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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. |
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| Publisher | | Brno University of Technology |
| Actions | |  |
| Library holdings | | Search Newcastle University Library for this item |
