๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Best order variability of autoregressive EEG modelling

โœ Scribed by F. Vaz; P. Guedes De Oliveira; J.C. Principe


Book ID
115866707
Publisher
Elsevier Science
Year
1985
Tongue
English
Weight
175 KB
Volume
61
Category
Article
ISSN
0013-4694

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


A study on the best order for autoregres
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

Autoregression models of EEG
โœ J. J. Wright; R. R. Kydd; A. A. Sergejew ๐Ÿ“‚ Article ๐Ÿ“… 1990 ๐Ÿ› Springer-Verlag ๐ŸŒ English โš– 844 KB

This paper considers the properties of parameters (natural frequencies and damping coefficients) obtained from segment-by-segment autoregression analysis of ECoG of rat. The use of a reference signal as control for parameter estimate errors, and multiple regression analyses indicate that the depende