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Bayesian nonstationary autoregressive models for biomedical signal analysis

Cassidy, MJ; Penny, WD; (2002) Bayesian nonstationary autoregressive models for biomedical signal analysis. IEEE T BIO-MED ENG , 49 (10) 1142 - 1152. 10.1109/TBME.2002.803511.

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Abstract

We describe a variational Bayesian algorithm for the estimation of a multivariate autoregressive model with time-varying coefficients that adapt according to a linear dynamical system. The algorithm allows for time and frequency domain characterization of nonstationary multivariate signals and is especially suited to the analysis of event-related data. Results are presented on synthetic data and real electroencephalogram data recorded in event-related desynchronization and photic synchronization scenarios.

Type: Article
Title: Bayesian nonstationary autoregressive models for biomedical signal analysis
DOI: 10.1109/TBME.2002.803511
Keywords: autoregressive modeling, Bayesian, Kalman smoother, variational Bayes, MOVEMENT, RHYTHMS
URI: http://discovery.ucl.ac.uk/id/eprint/123645
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