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On determination of the order of an autoregressive model

โœ Scribed by Z.D. Bai; K. Subramanyam; L.C. Zhao

Publisher
Elsevier Science
Year
1988
Tongue
English
Weight
427 KB
Volume
27
Category
Article
ISSN
0047-259X

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A study on the best order for autoregres
A study on the best order for autoregressive EEG modelling
โœ Francisco Vaz; Pedro Guedes de Oliveira; JosรฉC. Principe ๐Ÿ“‚ Article ๐Ÿ“… 1987 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 557 KB

The autoregressive (AR) model is a widely used tool in electroencephalogram (EEG) analysis. The dependence of the AR model on both the segment length and several characteristic EEG patterns is addressed. The best AR model order is computed with three different criteria. The results show that the Ris