Image Processing by Cellular Memcomputing Structures

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-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 languageEnglish
Title of host publication2020 IEEE International Symposium on Circuits and Systems (ISCAS)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages5
ISBN (print)978-1-7281-3320-1
Publication statusPublished - 14 Oct 2020
Peer-reviewedYes

Publication series

SeriesIEEE International Symposium on Circuits and Systems (ISCAS)
ISSN0271-4302

Conference

TitleIEEE International Symposium on Circuits and Systems 2020
Abbreviated titleISCAS 2020
Conference number52
Duration10 - 21 October 2020
Website
Locationonline
CityVirtual, Online
CountrySpain

External IDs

ORCID /0000-0001-7436-0103/work/142240289

Keywords

Keywords

  • Memristors, Standards, Capacitors, Image processing, Mathematical model, Nonlinear dynamical systems, Resistance