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On the existence of autoregressive models for third-order cumulant matching

✍ Scribed by Raghuveer, M.R.; Dianat, S.A.

Book ID
117865510
Publisher
IEEE
Year
1989
Weight
716 KB
Volume
37
Category
Article
ISSN
0096-3518

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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