Image Processing by Cellular Memcomputing Structures
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
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
| Originalsprache | Englisch |
|---|---|
| Titel | 2020 IEEE International Symposium on Circuits and Systems (ISCAS) |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers (IEEE) |
| Seitenumfang | 5 |
| ISBN (Print) | 978-1-7281-3320-1 |
| Publikationsstatus | Veröffentlicht - 14 Okt. 2020 |
| Peer-Review-Status | Ja |
Publikationsreihe
| Reihe | IEEE International Symposium on Circuits and Systems (ISCAS) |
|---|---|
| ISSN | 0271-4302 |
Konferenz
| Titel | IEEE International Symposium on Circuits and Systems 2020 |
|---|---|
| Kurztitel | ISCAS 2020 |
| Veranstaltungsnummer | 52 |
| Dauer | 10 - 21 Oktober 2020 |
| Webseite | |
| Ort | online |
| Stadt | Virtual, Online |
| Land | Spanien |
Externe IDs
| ORCID | /0000-0001-7436-0103/work/142240289 |
|---|
Schlagworte
Schlagwörter
- Memristors, Standards, Capacitors, Image processing, Mathematical model, Nonlinear dynamical systems, Resistance