Image Processing with Memristor Cellular Nonlinear Networks Featuring Volatile Threshold Switches

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

Beitragende

Abstract

In this manuscript, we investigate the dynamics of Memristor Cellular Nonlinear Networks, focusing on the complex behaviors of 2-terminal locally active volatile threshold switches, known as volatile memristors, using a circuit-theoretic approach. We show that a cell within the array equipped with an NbO2-based volatile threshold switch can exhibit both oscillatory and static dynamics depending on the parameters of the Memristor Cellular Nonlinear Network. We utilize the latter to design an M-CNN for image processing that performs edge detection on binary input images.

Details

OriginalspracheEnglisch
TitelProceedings - 2024 20th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design, SMACD 2024
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten1-4
ISBN (elektronisch)979-8-3503-5192-7
PublikationsstatusVeröffentlicht - 2024
Peer-Review-StatusJa

Konferenz

Titel20th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design
KurztitelSMACD 2024
Veranstaltungsnummer20
Dauer2 - 5 Juli 2024
OrtUniversity of Thessaly
StadtVolos
LandGriechenland

Externe IDs

ORCID /0000-0001-7436-0103/work/175217481
ORCID /0000-0002-1236-1300/work/175218179
ORCID /0000-0002-2367-5567/work/175220325
ORCID /0000-0002-6200-4707/work/175220793