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dc.contributor.authorCamilleri, Tracey A.-
dc.contributor.authorCamilleri, Kenneth P.-
dc.contributor.authorFabri, Simon G.-
dc.date.accessioned2017-05-29T09:11:47Z-
dc.date.available2017-05-29T09:11:47Z-
dc.date.issued2009-
dc.identifier.citationCassar, T. A., Camilleri, K. P., & Fabri, S. G. (2009). Order estimation of computational models for dynamic systems with application to biomedical signals. 3rd International Conference on Advanced Engineering Computing and Applications in Sciences, ADVCOMP 2009, Sliema. 169-174.en_GB
dc.identifier.urihttps://www.um.edu.mt/library/oar//handle/123456789/19477-
dc.description.abstractParametric models, in particular Autoregressive Moving Average (ARMA) models and their affiliates, are widely used in computational models of biomedical signals to fit a model to a recorded time series. An important step in this system identification process is the estimation of the model order. This paper provides the results of a systematic study of a previously developed technique based on the eigenvalues of the data covariance matrix to estimate the order of univariate ARMA models. A modified model order selection criterion which gives more robust results is used and the effect of the pole-zero positions on the correctly identified model orders is highlighted. Furthermore, the approach is extended to allow for the model order estimation of univariate Autoregressive (AR) and Moving Average (MA) models.en_GB
dc.language.isoenen_GB
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_GB
dc.rightsinfo:eu-repo/semantics/restrictedAccessen_GB
dc.subjectImpedance, Bioelectricen_GB
dc.subjectSignal processingen_GB
dc.subjectComputer-aided engineeringen_GB
dc.subjectEigenvaluesen_GB
dc.subjectEigenfunctionsen_GB
dc.titleOrder estimation of computational models for dynamic systems with application to biomedical signalsen_GB
dc.typeconferenceObjecten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.bibliographicCitation.conferencename3rd International Conference on Advanced Engineering Computing and Applications in Sciences, ADVCOMP 2009en_GB
dc.bibliographicCitation.conferenceplaceSliema, Malta, 11-16/10/2009en_GB
dc.description.reviewedpeer-revieweden_GB
dc.identifier.doi10.1109/ADVCOMP.2009.33-
Appears in Collections:Scholarly Works - FacEngSCE

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