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
fDate :
6/22/1905 12:00:00 AM
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Print_ISBN :
0-7803-6465-1
DOI :
10.1109/IEMBS.2000.898046
