ARMA Order Selection for Eeg - an Empirical Comparison Of Three Order Selection Algorithms

Gannabathula, Prasad and Murthy, ISN (1989) ARMA Order Selection for Eeg - an Empirical Comparison Of Three Order Selection Algorithms. In: the Annual International Conference of the IEEE Engineering in Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century, 9-12 November, Seattle,WA, Vol.5, 1686-1687.

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Abstract

The performance of three ARMA order estimation algorithms, i ) Canonical Correlation analysis b) S-array and c) Franke algorithm on simulated and real EEG signals is presented. It is shown that the S-array always correctly indicates the AR order but makes incorrect estimates of the MA order. The canonical correlation method identifies the model order correctly for simulated data, atid over estimates the AR order on real data. The Franke algorithm is shown to perform poorly in comparison to the other two algorithms.

Item Type:	Conference Paper
Publisher:	IEEE
Additional Information:	Copyright 1989 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	30 May 2006
Last Modified:	19 Sep 2010 04:27
URI:	http://eprints.iisc.ac.in/id/eprint/6952

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