Adaptable functional series TARMA models for non-stationary signal representation and their application to mechanical random vibration modeling

Functional series time-dependent autoregressive moving average (FS-TARMA) models are characterized by time varying parameters which are projected onto selected functional subspaces. They offer parsimonious and effective representations for a wide range of non-stationary random signals where the evol...

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Bibliographic Details
Published inSignal processing Vol. 96; pp. 63 - 79
Main Authors Spiridonakos, M.D., Fassois, S.D.
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.03.2014
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