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dc.contributor.authorGulcu, T. C.
dc.contributor.authorÖzaktaş, Haldun M.
dc.date.accessioned2018-04-12T11:02:41Z
dc.date.available2018-04-12T11:02:41Z
dc.date.issued2017en_US
dc.identifier.issn1053-587X
dc.identifier.urihttp://hdl.handle.net/11693/37094
dc.description.abstractWe focus on the problem of representing a nonstationary finite-energy random field, with finitely many samples. We do not require the field to be of finite extent or to be bandlimited. We propose an optimizable procedure for obtaining a finite-sample representation of the given field. We estimate the reconstruction error of the procedure, showing that it is the sum of the truncation errors in the space and frequency domains. We also optimize the truncation parameters analytically and present the resultant Pareto-optimal tradeoff curves involving the error in reconstruction and the sample count, for several examples. These tradeoff curves can be used to determine the optimal sampling strategy in a practical situation based on the relative importance of error and sample count for that application.en_US
dc.language.isoEnglishen_US
dc.source.titleIEEE Transactions on Signal Processingen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/TSP.2016.2641391en_US
dc.subjectFinite-energy signalsen_US
dc.subjectNon-stationary signalsen_US
dc.subjectRandom field estimationen_US
dc.subjectReconstruction erroren_US
dc.subjectUniform samplingen_US
dc.titleChoice of sampling interval and extent for finite-energy fieldsen_US
dc.typeArticleen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.spage1741en_US
dc.citation.epage1751en_US
dc.citation.volumeNumber65en_US
dc.citation.issueNumber7en_US
dc.identifier.doi10.1109/TSP.2016.2641391en_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.contributor.bilkentauthorHaldun M. Özaktaş


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