Nonuniform Sampling for Detection of Abrupt Changes

gdc.relation.journal Circuits Systems and Signal Processing en_US
dc.contributor.author Kerestecioğlu, Feza
dc.contributor.author Tokat, Sezai
dc.contributor.other Computer Engineering
dc.contributor.other 05. Faculty of Engineering and Natural Sciences
dc.contributor.other 01. Kadir Has University
dc.date.accessioned 2019-06-27T08:00:57Z
dc.date.available 2019-06-27T08:00:57Z
dc.date.issued 2003
dc.description.abstract In 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.citationcount 2
dc.identifier.issn 0278-081X en_US
dc.identifier.issn 0278-081X
dc.identifier.uri https://hdl.handle.net/20.500.12469/182
dc.language.iso en en_US
dc.publisher Birkhauser Boston Inc en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Change detection en_US
dc.subject Cumulative sum test en_US
dc.subject Nonuniform sampling en_US
dc.title Nonuniform Sampling for Detection of Abrupt Changes en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Kerestecioğlu, Feza en_US
gdc.author.institutional Kerestecioğlu, Feza
gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.description.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü en_US
gdc.description.endpage 404
gdc.description.issue 4
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q2
gdc.description.startpage 395 en_US
gdc.description.volume 22 en_US
gdc.identifier.wos WOS:000184823100005 en_US
gdc.wos.citedcount 2
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