Image Processing by Cellular Memcomputing Structures

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

Beitragende

Abstract

The introduction of memcomputing memristors into the design of Cellular Nonlinear Networks (CNNs) allows to reduce the integrated circuit area typically allocated to each processing element in hardware realizations. Furthermore, the highly nonlinear dynamics of memristors enriches the multivariate signal processing capabilities of these cellular memprocessing structures. This is demonstrated in this paper, where the standard and generalized Dynamic Route Map analysis tools are employed to elucidate the mechanisms by which a Memristor CNN with bistable-like and analog dynamic nonvolatile memristors executes fundamental image processing operations, respectively.

Details

OriginalspracheEnglisch
Titel2020 IEEE International Symposium on Circuits and Systems (ISCAS)
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers (IEEE)
Seitenumfang5
ISBN (Print)978-1-7281-3320-1
PublikationsstatusVeröffentlicht - 14 Okt. 2020
Peer-Review-StatusJa

Publikationsreihe

ReiheIEEE International Symposium on Circuits and Systems (ISCAS)
ISSN0271-4302

Konferenz

TitelIEEE International Symposium on Circuits and Systems 2020
KurztitelISCAS 2020
Veranstaltungsnummer52
Dauer10 - 21 Oktober 2020
Webseite
Ortonline
StadtVirtual, Online
LandSpanien

Externe IDs

ORCID /0000-0001-7436-0103/work/142240289

Schlagworte

Schlagwörter

  • Memristors, Standards, Capacitors, Image processing, Mathematical model, Nonlinear dynamical systems, Resistance