DocumentCode
3593007
Title
A criterion for adaptive autoregressive models
Author
Schl?¶gl, Alois ; Roberts, S.J. ; Pfurtscheller, Gert
Author_Institution
Inst. of Biomed. Eng., Univ. of Technol., Graz, Austria
Volume
2
fYear
2000
fDate
6/22/1905 12:00:00 AM
Firstpage
1581
Abstract
A criterion, similar to the information criterion of a stationary autoregressive (AR) model, is introduced for an adaptive (non-stationary) autoregressive model. It is applied to nonstationary EEG data. It is shown that the criterion can be used to determine the update coefficient, the model order and the estimation algorithm
Keywords
adaptive estimation; adaptive signal processing; autoregressive processes; electroencephalography; information theory; medical signal processing; modelling; spectral analysis; adaptive autoregressive model criterion; estimation algorithm; information criterion; model order; nonstationary EEG data; update coefficient; Application software; Brain modeling; Electroencephalography; Filtering algorithms; Heart rate variability; Kalman filters; Least squares approximation; Parameter estimation; Resonance light scattering; Spectral analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
ISSN
1094-687X
Print_ISBN
0-7803-6465-1
Type
conf
DOI
10.1109/IEMBS.2000.898046
Filename
898046
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