An orthogonal ARMA identifier with automatic order estimation for biological modeling

In this paper an ARMA identification algorithm is developed for modeling biological time series data. The algorithm is based on Gram-Schmidt orthogonalization of automatically selected basis functions from a specified function space. The selection criterion is based on recursive testing of potential...

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Veröffentlicht in:	Annals of biomedical engineering 1989-01, Vol.17 (6), p.571-592
Hauptverfasser:	KORENBERG, M. J, PAARMANN, L. D
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biological and medical sciences Computer Simulation Computer Systems Computerized, statistical medical data processing and models in biomedicine Humans Least-Squares Analysis Medical sciences Models and simulation Models, Biological Signal Processing, Computer-Assisted Software
Online-Zugang:	Volltext
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