STABILITY OF CELLULAR NEURAL NETWORKS WITH OPPOSITE-SIGN TEMPLATES

被引：92

作者：

ZOU, F

NOSSEK, JA

机构：

[1] Institute for Network Theory and Design, Technical University of Munich

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS | 1991年 / 38卷 / 06期

关键词：

D O I：

10.1109/31.81867

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Cellular neural networks (CNN's) with opposite-sign templates have been successfully applied in connected component detection (CCD) in feature extraction [4]. A stability analysis of this class of nonreciprocal CNN is provided in [5]. In this paper, a thorough stability analysis of this type of CNN's is presented, which shows the dependence of complete stability and instability are determined and the parameter region for the functionality of CCD is also given based on this investigation. Simulation examples verify, that the complete stability of CNN with opposite-sign templates is not always preserved.

引用

页码：675 / 677

页数：3

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