AN APPROACH TO INFORMATION PROPAGATION IN 1-D CELLULAR NEURAL NETWORKS - PART-II - GLOBAL PROPAGATION

Authors
SETTI G THIRAN P SERPICO C
Citation
G. Setti et al., AN APPROACH TO INFORMATION PROPAGATION IN 1-D CELLULAR NEURAL NETWORKS - PART-II - GLOBAL PROPAGATION, IEEE transactions on circuits and systems. 1, Fundamental theory andapplications, 45(8), 1998, pp. 790-811
Citations number
22
Categorie Soggetti
Engineering, Eletrical & Electronic
Journal title
IEEE transactions on circuits and systems. 1, Fundamental theory andapplications → ACNP
ISSN journal
10577122
Volume
45
Issue
8
Year of publication
1998
Pages
790 - 811
Database
ISI
SICI code
1057-7122(1998)45:8<790:AATIPI>2.0.ZU;2-J
Abstract
This second of two papers [1] studies how and when a global propagatio n of information, introduced as initial condition, is possible through a one-dimensional (1-D) Cellular Neural Network (CNN) with connection s between nearest neighbors only. We will focus on circular arrays, wh ich have the most regular structure, we will show that periodic soluti ons exist, and we will compute one of them analytically. We will also study their stability.