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

Bibliographical note

Generated from Scopus record by KAUST IRTS on 2023-02-15

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/81.704820

Cite this

@article{45095419921647dbb0fc7db613276e06,

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

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. {\textcopyright} 1998 IEEE.",

author = "Gianluca Setti and Patrick Thiran and Claudio Serpico",

note = "Generated from Scopus record by KAUST IRTS on 2023-02-15",

year = "1998",

month = dec,

day = "1",

doi = "10.1109/81.704820",

language = "English (US)",

volume = "45",

pages = "790--811",

journal = "IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications",

issn = "1057-7122",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "8",

}

TY - JOUR

T1 - An approach to information propagation in 1-D cellular neural networks-Part II: Global propagation

AU - Setti, Gianluca

AU - Thiran, Patrick

AU - Serpico, Claudio

N1 - Generated from Scopus record by KAUST IRTS on 2023-02-15

PY - 1998/12/1

Y1 - 1998/12/1

N2 - 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.

AB - 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.

UR - http://ieeexplore.ieee.org/document/704820/

UR - http://www.scopus.com/inward/record.url?scp=0032142324&partnerID=8YFLogxK

U2 - 10.1109/81.704820

DO - 10.1109/81.704820

M3 - Article

SN - 1057-7122

VL - 45

SP - 790

EP - 811

JO - IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications

JF - IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications

IS - 8

ER -

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

Abstract

Bibliographical note

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this