| dc.contributor.author | Kerestecioğlu, Feza | |
| dc.contributor.author | Tokat, Sezai | |
| dc.date.accessioned | 2019-06-27T08:00:57Z | |
| dc.date.available | 2019-06-27T08:00:57Z | |
| dc.date.issued | 2003 | |
| dc.identifier.issn | 0278-081X | en_US |
| dc.identifier.uri | https://hdl.handle.net/20.500.12469/182 | |
| 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.language.iso | eng | 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 |
| dc.identifier.startpage | 395 | en_US |
| dc.identifier.endpage | 404 | |
| dc.relation.journal | Circuits Systems and Signal Processing | en_US |
| dc.identifier.issue | 4 | |
| dc.identifier.volume | 22 | en_US |
| dc.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
| dc.identifier.wos | WOS:000184823100005 | en_US |
| dc.institutionauthor | Kerestecioğlu, Feza | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
