Image Processing by Cellular Memcomputing Structures
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
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
| Original language | English |
|---|---|
| Title of host publication | 2020 IEEE International Symposium on Circuits and Systems (ISCAS) |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Number of pages | 5 |
| ISBN (print) | 978-1-7281-3320-1 |
| Publication status | Published - 14 Oct 2020 |
| Peer-reviewed | Yes |
Publication series
| Series | IEEE International Symposium on Circuits and Systems (ISCAS) |
|---|---|
| ISSN | 0271-4302 |
Conference
| Title | IEEE International Symposium on Circuits and Systems 2020 |
|---|---|
| Abbreviated title | ISCAS 2020 |
| Conference number | 52 |
| Duration | 10 - 21 October 2020 |
| Website | |
| Location | online |
| City | Virtual, Online |
| Country | Spain |
External IDs
| ORCID | /0000-0001-7436-0103/work/142240289 |
|---|
Keywords
Keywords
- Memristors, Standards, Capacitors, Image processing, Mathematical model, Nonlinear dynamical systems, Resistance