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dc.contributor.authorGunay, Enis
dc.contributor.authorAltun, Kenan
dc.date.accessioned2019-07-27T12:10:23Z
dc.date.accessioned2019-07-28T09:44:26Z
dc.date.available2019-07-27T12:10:23Z
dc.date.available2019-07-28T09:44:26Z
dc.date.issued2017
dc.identifier.isbn978-1-5090-6494-6
dc.identifier.issn2165-0608
dc.identifier.urihttps://hdl.handle.net/20.500.12418/7061
dc.description25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEYen_US
dc.descriptionWOS: 000413813100145en_US
dc.description.abstractRecent 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.en_US
dc.description.sponsorshipTurk Telekom, Arcelik A S, Aselsan, ARGENIT, HAVELSAN, NETAS, Adresgezgini, IEEE Turkey Sect, AVCR Informat Technologies, Cisco, i2i Syst, Integrated Syst & Syst Design, ENOVAS, FiGES Engn, MS Spektral, Istanbul Teknik Univen_US
dc.language.isoturen_US
dc.publisherIEEEen_US
dc.relation.ispartofseriesSignal Processing and Communications Applications Conference
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFPAAen_US
dc.subjectCellular Neural Networksen_US
dc.subjectchaosen_US
dc.titleFPAA Implementation of CNN Based Chaos Generatoren_US
dc.typeconferenceObjecten_US
dc.relation.journal2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU)en_US
dc.contributor.department[Gunay, Enis] Erciyes Univ, Elekt & Elekt Muhendisligi Bolumu, Kayseri, Turkey -- [Altun, Kenan] Cumhuriyet Univ, Elekt & Otomasyon Bolumu, Sivas, Turkeyen_US
dc.contributor.authorIDALTUN, KENAN -- 0000-0001-7419-1901en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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