Spectral Theory For Random Closed Sets And Estimating The Covariance Via Frequency Space

  • A spectral theory for stationary random closed sets is developed and provided with a sound mathematical basis. Definition and proof of existence of the Bartlett spectrum of a stationary random closed set as well as the proof of a Wiener-Khintchine theorem for the power spectrum are used to two ends: First, well known second order characteristics like the covariance can be estimated faster than usual via frequency space. Second, the Bartlett spectrum and the power spectrum can be used as second order characteristics in frequency space. Examples show, that in some cases information about the random closed set is easier to obtain from these characteristics in frequency space than from their real world counterparts.

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Metadaten
Author:K. Koch, J. Ohser, K. Schladitz
URN (permanent link):urn:nbn:de:hbz:386-kluedo-12998
Serie (Series number):Berichte des Fraunhofer-Instituts für Techno- und Wirtschaftsmathematik (ITWM Report) (37)
Document Type:Report
Language of publication:English
Year of Completion:2002
Year of Publication:2002
Publishing Institute:Fraunhofer-Institut für Techno- und Wirtschaftsmathematik
Tag:Bartlett spectrum; Random set; fast Fourier transform; power spectrum
Faculties / Organisational entities:Fraunhofer (ITWM)
DDC-Cassification:510 Mathematik

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