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dc.contributor.authorÖzçelikkale, A.en_US
dc.contributor.authorOzaktas, H. M.en_US
dc.date.accessioned2016-02-08T09:36:10Z
dc.date.available2016-02-08T09:36:10Z
dc.date.issued2013en_US
dc.identifier.issn1051-2004
dc.identifier.urihttp://hdl.handle.net/11693/20833
dc.description.abstractIn this article we consider the representation of a finite-energy non-stationary random field with a finite number of samples. We pose the problem as an optimal sampling problem where we seek the optimal sampling interval under the mean-square error criterion, for a given number of samples. We investigate the optimum sampling rates and the resulting trade-offs between the number of samples and the representation error. In our numerical experiments, we consider a parametric non-stationary field model, the Gaussian-Schell model, and present sampling schemes for varying noise levels and for sources with varying numbers of degrees of freedom. We discuss the dependence of the optimum sampling interval on the problem parameters. We also study the sensitivity of the error to the chosen sampling interval.en_US
dc.language.isoEnglishen_US
dc.source.titleDigital Signal Processing: A Review Journalen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.dsp.2013.05.001en_US
dc.subjectGaussian-Schell modelen_US
dc.subjectNon-stationary signalsen_US
dc.subjectRandom field estimationen_US
dc.subjectUniform samplingen_US
dc.subjectGaussian-schell modelsen_US
dc.subjectNonstationary signalsen_US
dc.subjectNumerical experimentsen_US
dc.subjectOptimum samplingsen_US
dc.subjectProblem parametersen_US
dc.subjectRandom fieldsen_US
dc.subjectSampling intervalen_US
dc.subjectUniform samplingen_US
dc.subjectDigital signal processingen_US
dc.subjectOptimizationen_US
dc.titleOptimal representation of non-stationary random fields with finite numbers of samples: A linear MMSE frameworken_US
dc.typeArticleen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.spage1602en_US
dc.citation.epage1609en_US
dc.citation.volumeNumber23en_US
dc.citation.issueNumber5en_US
dc.identifier.doi10.1016/j.dsp.2013.05.001en_US
dc.publisherElsevieren_US


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