| dc.contributor.author | Gunay E. | |
| dc.contributor.author | Altun K. | |
| dc.date.accessioned | 2019-07-27T12:10:23Z | |
| dc.date.accessioned | 2019-07-28T09:33:38Z | |
| dc.date.available | 2019-07-27T12:10:23Z | |
| dc.date.available | 2019-07-28T09:33:38Z | |
| dc.date.issued | 2017 | |
| dc.identifier.isbn | 9781509064946 | |
| dc.identifier.uri | https://dx.doi.org/10.1109/SIU.2017.7960281 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12418/5785 | |
| dc.description | 25th Signal Processing and Communications Applications Conference, SIU 2017 -- 15 May 2017 through 18 May 2017 -- | en_US |
| dc.description.abstract | Recent times Field Programmable Analog Arrays (FPAAs) attracts attention among the reprogrammable and reconfigurable hardwares because of their flexible structure and analog outputs. Thus, a Celluar Neural Network (CNN) based chaos generator, which was realized by using discrete circuit elements, is reactualized in FPAA platform. Experimental results are compared with numerical results and the discrete ones. © 2017 IEEE. | en_US |
| dc.language.iso | tur | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.isversionof | 10.1109/SIU.2017.7960281 | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Cellular Neural Networks | en_US |
| dc.subject | chaos | en_US |
| dc.subject | FPAA | en_US |
| dc.title | FPAA implementation of CNN based chaos generator [HSA Tabanli Kaos Üretecinin FPAA Kullanilarak Gerçekleştirilmesi] | en_US |
| dc.type | conferenceObject | en_US |
| dc.relation.journal | 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 | en_US |
| dc.contributor.department | Gunay, E., Elektrik Ve Elektronik Mühendisli?i Bölümü, Erciyes Üniversitesi, Kayseri, Turkey -- Altun, K., Elektronik Ve Otomasyon Bölümü, Cumhuriyet Üniversitesi, Sivas, Turkey | en_US |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
