Autocorrelation-based quickest change detection
| dc.contributor.author | Afser, Huseyin | |
| dc.contributor.author | Yabaci, Seyhun Barbaros | |
| dc.date.accessioned | 2025-01-06T17:30:12Z | |
| dc.date.available | 2025-01-06T17:30:12Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | We consider the utilization of the autocorrelation information for aiding the quickest detection problem. Specifically, we investigate the problem of quickly detecting a Gaussian source with autocorrelation such that some of its symbols are repeated as cyclic prefixes. Based on the cumulative sum algorithm, we propose a method which takes advantage of this autocorrelation in order to provide performance improvement compared to the classical energy based detection of the uncorrelated source. © 1997-2012 IEEE. | |
| dc.identifier.doi | 10.1109/LCOMM.2020.3016652 | |
| dc.identifier.endpage | 2916 | |
| dc.identifier.issn | 1089-7798 | |
| dc.identifier.issue | 12 | |
| dc.identifier.scopus | 2-s2.0-85097802250 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.startpage | 2913 | |
| dc.identifier.uri | https://doi.org/10.1109/LCOMM.2020.3016652 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14669/1517 | |
| dc.identifier.volume | 24 | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.relation.ispartof | IEEE Communications Letters | |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_20241211 | |
| dc.subject | autocorrelation detection | |
| dc.subject | cumulative sum algorithm | |
| dc.subject | energy detection | |
| dc.subject | Quickest detection | |
| dc.title | Autocorrelation-based quickest change detection | |
| dc.type | Article |
