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

Gianluca Setti; Patrick Thiran; Claudio Serpico

doi:10.1109/81.704820

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 journal › Article › peer-review

70 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 language	English (US)
Pages (from-to)	790-811
Number of pages	22
Journal	IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications
Volume	45
Issue number	8
DOIs	https://doi.org/10.1109/81.704820
State	Published - Dec 1 1998
Externally published	Yes

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/81.704820

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

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