Simulation of homogeneous two-dimensional random fields. Part I. AR and ARMA models

Marc Mignolet, Pol D. Spanos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The determination of autoregressive (AR) and autoregressive moving average (ARMA) algorithms for simulating realizations of two-dimensional random fields with a specified (target) power spectrum is examined. The form of both of these models is justified first by considering infinite-variate vector processes of appropriate spectral matrix. Next, the AR parameters are selected to achieve the minimum of a positive integral. Then, a technique is formulated to derive an ARMA simulation algorithm from the prior AR approximation by relying on the minimization of frequency domain errors. Finally, these procedures are critically assessed and an example of application is presented.

Original languageEnglish (US)
Title of host publicationAmerican Society of Mechanical Engineers (Paper)
Editors Anon
PublisherPubl by ASME
Pages1-10
Number of pages10
StatePublished - 1991
EventASME Winter Annual Meeting - Atlanta, GA, USA
Duration: Dec 1 1991Dec 6 1991

Other

OtherASME Winter Annual Meeting
CityAtlanta, GA, USA
Period12/1/9112/6/91

ASJC Scopus subject areas

  • Mechanical Engineering

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    Mignolet, M., & Spanos, P. D. (1991). Simulation of homogeneous two-dimensional random fields. Part I. AR and ARMA models. In Anon (Ed.), American Society of Mechanical Engineers (Paper) (pp. 1-10). Publ by ASME.