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Parametric Signal Modelling using Laguerre Filters
KTH, Superseded Departments, Signals, Sensors and Systems. (Automatic Control)ORCID iD: 0000-0002-1927-1690
ANU, Australia.
1993 (English)In: The Annals of Applied Probability, ISSN 10505164, Vol. 3Article in journal (Refereed) Published
Abstract [en]

Autoregressive (AR) modelling is generalized by replacing the delay operator by discrete Laguerre filters. The motivation is to reduce the number of parameters needed to obtain useful approximate models of stochastic processes, without increasing the computational complexity. Asymptotic statistical properties are investigated. Several AR model estimation results are extended to Laguerre models. In particular, it is shown how the choice of Laguerre time constant affects the resulting estimates. A Levinson-type algorithm for computing the Laguerre model estimates in an efficient way is also given. The Laguerre technique is illustrated by two simple examples.

Place, publisher, year, edition, pages
1993. Vol. 3
National Category
Control Engineering
URN: urn:nbn:se:kth:diva-58454OAI: diva2:473090
NR 20140805Available from: 2012-01-05 Created: 2012-01-05 Last updated: 2013-09-05Bibliographically approved

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