Optimal Input Design for the Detection of Changes Towards Unknown Hypotheses

dc.contributor.author Kerestecioğlu, Feza
dc.contributor.author Kerestecioğlu, Feza
dc.contributor.author Cetin, I
dc.contributor.other Computer Engineering
dc.date.accessioned 2019-06-27T08:00:55Z
dc.date.available 2019-06-27T08:00:55Z
dc.date.issued 2004
dc.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü en_US
dc.description.abstract The effects of auxiliary input signals on detecting changes in ARMAX processes via statistical tests are discussed. Two extensions to the Cumulative Sum Test are considered. The first is applicable when the direction of the change in the parameter space is known but its magnitude is unknown. The second is applicable when neither is known. The performance criteria for the design of stationary stochastic inputs are based on the asymptotic properties of the tests. It is shown that power-constrained optimal inputs have discrete spectra and a suitably chosen input can greatly improve the detection performance. en_US]
dc.identifier.citationcount 12
dc.identifier.doi 10.1080/00207720410001734219 en_US
dc.identifier.endpage 444
dc.identifier.issn 0020-7721 en_US
dc.identifier.issn 0020-7721
dc.identifier.issue 7
dc.identifier.scopus 2-s2.0-4043126721 en_US
dc.identifier.scopusquality Q1
dc.identifier.startpage 435 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12469/160
dc.identifier.uri https://doi.org/10.1080/00207720410001734219
dc.identifier.volume 35 en_US
dc.identifier.wos WOS:000223474800004 en_US
dc.identifier.wosquality Q2
dc.institutionauthor Kerestecioğlu, Feza en_US
dc.language.iso en en_US
dc.publisher Taylor & Francis Ltd en_US
dc.relation.journal International Journal of Systems Science en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 14
dc.title Optimal Input Design for the Detection of Changes Towards Unknown Hypotheses en_US
dc.type Article en_US
dc.wos.citedbyCount 12
dspace.entity.type Publication
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