An approach to information propagation in 1-D cellular neural networks-Part II: Global propagation

Gianluca Setti, Patrick Thiran, Claudio Serpico

Research output: Contribution to journalArticlepeer-review

68 Scopus citations

Abstract

This second of two papers [1] studies how and when a global propagation of information, introduced as initial condition, is possible through a one-dimensional (1-D) Cellular Neural Network (CNN) with connections between nearest neighbors only. We will focus on circular arrays, which have the most regular structure, we will show that periodic solutions exist, and we will compute one of them analytically. We will also study their stability. © 1998 IEEE.
Original languageEnglish (US)
Pages (from-to)790-811
Number of pages22
JournalIEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications
Volume45
Issue number8
DOIs
StatePublished - Dec 1 1998
Externally publishedYes

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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