Theory of Cellular Nonlinear Networks with Analogue Dynamic Memristors

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

Abstract

Cellular Nonlinear Network-based visual microprocessors offer the opportunity to process and store data at the detection place, but suffer from low spatial resolution due to the allocation of memory units to each cell. Memristor technologies offer the opportunity to resolve this issue. In fact, nonvolatile memristors, employed in a novel cell design, may contribute to process data, and serve as memory units. Using a memristor with scalar state in each cell calls for the generalization of the Dynamic Route Map technique for analysing and designing arrays with second-order processing elements. This novel system-theoretical concept is introduced here through illustrative examples.

Details

OriginalspracheEnglisch
Titel2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS)
Herausgeber (Verlag)Wiley-IEEE Press
Seiten498-501
Seitenumfang4
ISBN (elektronisch)978-1-7281-0996-1
ISBN (Print)978-1-7281-0997-8
PublikationsstatusVeröffentlicht - 29 Nov. 2019
Peer-Review-StatusJa

Publikationsreihe

ReiheIEEE International Conference on Electronics, Circuits and Systems (ICECS)

Konferenz

Titel26th IEEE International Conference on Electronics, Circuits and Systems
KurztitelICECS 2019
Veranstaltungsnummer26
Dauer27 - 29 November 2019
BekanntheitsgradInternationale Veranstaltung
OrtPorto Antico Conference Centre
StadtGenoa
LandItalien

Externe IDs

Scopus 85079179030
ORCID /0000-0001-7436-0103/work/142240287