Nonuniform sampling for detection of abrupt changes

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dc.contributor.authorKerestecioğlu, Feza
dc.contributor.authorTokat, Sezai
dc.date.accessioned2019-06-27T08:00:57Z
dc.date.available2019-06-27T08:00:57Z
dc.date.issued2003
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractIn this work detection of abrupt changes in continuous-time linear stochastic systems and selection of the sampling interval to improve the detection performance are considered. Cost functions are proposed to optimize both uniform and nonuniform sampling intervals for the well-known cumulative sum algorithm. Some iterative techniques are presented to make online optimization computationally feasible. It is shown that considerable improvement in the detection performance can be obtained by using nonuniform sampling intervals.en_US]
dc.identifier.citation2
dc.identifier.endpage404
dc.identifier.issn0278-081Xen_US
dc.identifier.issn0278-081X
dc.identifier.issue4
dc.identifier.scopusqualityQ2
dc.identifier.startpage395en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12469/182
dc.identifier.volume22en_US
dc.identifier.wosWOS:000184823100005en_US
dc.identifier.wosqualityN/A
dc.institutionauthorKerestecioğlu, Fezaen_US
dc.language.isoenen_US
dc.publisherBirkhauser Boston Incen_US
dc.relation.journalCircuits Systems and Signal Processingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectChange detectionen_US
dc.subjectCumulative sum testen_US
dc.subjectNonuniform samplingen_US
dc.titleNonuniform sampling for detection of abrupt changesen_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isAuthorOfPublication3b717ed5-ce95-4f19-b9d0-f544789c28da
relation.isAuthorOfPublication.latestForDiscovery3b717ed5-ce95-4f19-b9d0-f544789c28da

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