dc.contributor.author | Yiğit, Enes | |
dc.contributor.author | Tekbaş, Mustafa | |
dc.contributor.author | Ünal, İlhami | |
dc.contributor.author | Erdoğan, Sercan | |
dc.contributor.author | Çalışkan, Cafer | |
dc.date.accessioned | 2020-12-27T17:18:54Z | |
dc.date.available | 2020-12-27T17:18:54Z | |
dc.date.issued | 2017 | |
dc.identifier.isbn | 978-1-5090-6494-6 | |
dc.identifier.issn | 2165-0608 | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.12469/3685 | |
dc.description.abstract | One of the most important problems encountered in microwave imaging methods is intensive data processing traffic that occurs when high resolution and real time tracking is desired. Radar signals can be recovered without loss of data with a randomly selected subset of the measurement data by compression sensing (CS) method which has been popular in recent years. For this reason, in this study, the use and capabilities of the CS method were investigated for tracking moving human, and the target information was correctly determined for the data obtained much below the Nyquist sampling criterion. In this study, it was revealed that the CS method can be developed for target detection and tracking | en_US |
dc.language.iso | tur | en_US |
dc.publisher | IEEE | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Compressed sensing | en_US |
dc.subject | Microwave imaging | en_US |
dc.title | An Analysis for the Use of Compressed Sensing Method in Microwave Imaging | en_US |
dc.type | conferenceObject | en_US |
dc.relation.journal | 2017 25th Signal Processing and Communications Applications Conference (SIU) | en_US |
dc.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
dc.identifier.wos | WOS:000413813100341 | en_US |
dc.institutionauthor | Çalışkan, Cafer | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |