Image Processing with Memristor Cellular Nonlinear Networks Featuring Volatile Threshold Switches
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
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
Originalsprache | Englisch |
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Titel | Proceedings - 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. |
Seiten | 1-4 |
ISBN (elektronisch) | 979-8-3503-5192-7 |
Publikationsstatus | Veröffentlicht - 2024 |
Peer-Review-Status | Ja |
Konferenz
Titel | 20th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design |
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Kurztitel | SMACD 2024 |
Veranstaltungsnummer | 20 |
Dauer | 2 - 5 Juli 2024 |
Ort | University of Thessaly |
Stadt | Volos |
Land | Griechenland |
Externe IDs
ORCID | /0000-0001-7436-0103/work/175217481 |
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ORCID | /0000-0002-1236-1300/work/175218179 |
ORCID | /0000-0002-2367-5567/work/175220325 |
ORCID | /0000-0002-6200-4707/work/175220793 |
Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- image processing, M-CNN, volatile memristor