Short-window spectral analysis using AMVAR and multitaper methods: a comparison

Nalatore, Hariharan and Rangarajan, Govindan (2009) Short-window spectral analysis using AMVAR and multitaper methods: a comparison. In: Biological Cybernetics, 101 (1). pp. 71-80.

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Abstract

We compare two popular methods for estimating the power spectrum from short data windows, namely the adaptive multivariate autoregressive (AMVAR) method and the multitaper method. By analyzing a simulated signal (embedded in a background Ornstein-Uhlenbeck noise process) we demonstrate that the AMVAR method performs better at detecting short bursts of oscillations compared to the multitaper method. However, both methods are immune to jitter in the temporal location of the signal. We also show that coherence can still be detected in noisy bivariate time series data by the AMVAR method even if the individual power spectra fail to show any peaks. Finally, using data from two monkeys performing a visuomotor pattern discrimination task, we demonstrate that the AMVAR method is better able to determine the termination of the beta oscillations when compared to the multitaper method.

Item Type:	Journal Article
Publication:	Biological Cybernetics
Publisher:	Springer
Additional Information:	Copyright of this article belongs to Springer
Keywords:	Spectral analysis; AMVAR method; Multitaper method
Department/Centre:	Division of Physical & Mathematical Sciences > Mathematics
Date Deposited:	22 Dec 2009 10:19
Last Modified:	19 Sep 2010 05:43
URI:	http://eprints.iisc.ac.in/id/eprint/22748

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