Theory of Cellular Nonlinear Networks with Analogue Dynamic Memristors
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
Cellular Nonlinear Network-based visual microprocessors offer the opportunity to process and store data at the detection place, but suffer from low spatial resolution due to the allocation of memory units to each cell. Memristor technologies offer the opportunity to resolve this issue. In fact, nonvolatile memristors, employed in a novel cell design, may contribute to process data, and serve as memory units. Using a memristor with scalar state in each cell calls for the generalization of the Dynamic Route Map technique for analysing and designing arrays with second-order processing elements. This novel system-theoretical concept is introduced here through illustrative examples.
Details
| Original language | English |
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| Title of host publication | 2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS) |
| Publisher | Wiley-IEEE Press |
| Pages | 498-501 |
| Number of pages | 4 |
| ISBN (electronic) | 978-1-7281-0996-1 |
| ISBN (print) | 978-1-7281-0997-8 |
| Publication status | Published - 29 Nov 2019 |
| Peer-reviewed | Yes |
Publication series
| Series | IEEE International Conference on Electronics, Circuits and Systems (ICECS) |
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Conference
| Title | 26th IEEE International Conference on Electronics, Circuits and Systems |
|---|---|
| Abbreviated title | ICECS 2019 |
| Conference number | 26 |
| Duration | 27 - 29 November 2019 |
| Degree of recognition | International event |
| Location | Porto Antico Conference Centre |
| City | Genoa |
| Country | Italy |
External IDs
| Scopus | 85079179030 |
|---|---|
| ORCID | /0000-0001-7436-0103/work/142240287 |