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.
An approach to information propagation in 1-D cellular neural networks-Part II: Global propagation
SETTI, Gianluca;
1998
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.File in questo prodotto:
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