Cellular neural networks

A paradigm for nonlinear spatio-temporal processing

Luigi Fortuna, Paolo Arena, David Bâlya, A. Zarándy

Research output: Contribution to journalArticle

58 Citations (Scopus)

Abstract

The paradigm of Cellular Neural Networks is going to achieve a complete maturity. In fact, from a methodological point of view, important results on their digitally programmable analog dynamics have been gained, completed with thousands of application routines. This has encouraged the spreading of a great number of applications in the most different disciplines. Moreover, their structure, tailor made for VLSI realization, has led to the production of some chip prototypes that, embedded in a computational infrastructure, have produced the first analogic cellular computers. This completes the framework and makes it possible to realize complex spatio-temporal and filtering tasks on a time scale of microseconds. In this paper some sketches on the main aspects of Cellular Neural Networks, from the formal to the hardware prototype point of view, are presented together with some appealing applications to illustrate complex image, visual and spatio-temporal dynamics processing.

Original languageEnglish
Pages (from-to)6-21
Number of pages16
JournalIEEE Circuits and Systems Magazine
Volume1
Issue number4
DOIs
Publication statusPublished - 2001

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Cellular neural networks
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ASJC Scopus subject areas

  • Engineering(all)
  • Hardware and Architecture

Cite this

Cellular neural networks : A paradigm for nonlinear spatio-temporal processing. / Fortuna, Luigi; Arena, Paolo; Bâlya, David; Zarándy, A.

In: IEEE Circuits and Systems Magazine, Vol. 1, No. 4, 2001, p. 6-21.

Research output: Contribution to journalArticle

Fortuna, Luigi ; Arena, Paolo ; Bâlya, David ; Zarándy, A. / Cellular neural networks : A paradigm for nonlinear spatio-temporal processing. In: IEEE Circuits and Systems Magazine. 2001 ; Vol. 1, No. 4. pp. 6-21.
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