High performance digitally programmable CNN chip with discrete templates

F. Sargeni, V. Bonaiuto
{"title":"High performance digitally programmable CNN chip with discrete templates","authors":"F. Sargeni, V. Bonaiuto","doi":"10.1109/CNNA.1994.381705","DOIUrl":null,"url":null,"abstract":"In this paper a high performance VLSI implementation of a 3/spl times/3 Digitally Programmable Cellular Neural Network with discrete templates is presented. This chip, manufactured and successfully tested, gives an efficient solution to the hardware implementation of the Cellular Neural Networks. Moreover this chip can be connected to others to carry out very large CNN arrays. This implementation covers the 66% of the available one-neighborhood fixed templates for image processing applications.<<ETX>>","PeriodicalId":248898,"journal":{"name":"Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications (CNNA-94)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNNA.1994.381705","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 24

Abstract

In this paper a high performance VLSI implementation of a 3/spl times/3 Digitally Programmable Cellular Neural Network with discrete templates is presented. This chip, manufactured and successfully tested, gives an efficient solution to the hardware implementation of the Cellular Neural Networks. Moreover this chip can be connected to others to carry out very large CNN arrays. This implementation covers the 66% of the available one-neighborhood fixed templates for image processing applications.<>
具有离散模板的高性能数字可编程CNN芯片
本文提出了一种具有离散模板的3/ sp1倍/3数字可编程细胞神经网络的高性能VLSI实现方法。该芯片的制造和测试成功,为细胞神经网络的硬件实现提供了一个有效的解决方案。此外,该芯片可以与其他芯片连接,以执行非常大的CNN阵列。这个实现覆盖了66%可用的单邻域固定模板用于图像处理应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信