Theory of Cellular Nonlinear Networks with Analogue Dynamic Memristors

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-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 languageEnglish
Title of host publication2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS)
PublisherWiley-IEEE Press
Pages498-501
Number of pages4
ISBN (electronic)978-1-7281-0996-1
ISBN (print)978-1-7281-0997-8
Publication statusPublished - 29 Nov 2019
Peer-reviewedYes

Publication series

SeriesIEEE International Conference on Electronics, Circuits and Systems (ICECS)

Conference

Title26th IEEE International Conference on Electronics, Circuits and Systems
Abbreviated titleICECS 2019
Conference number26
Duration27 - 29 November 2019
Degree of recognitionInternational event
LocationPorto Antico Conference Centre
CityGenoa
CountryItaly

External IDs

Scopus 85079179030
ORCID /0000-0001-7436-0103/work/142240287