{"title":"VLSI implementation of cellular neural network universal machine","authors":"A. Paasio, A. Dawidziuk, V. Porra","doi":"10.1109/ISCAS.1997.608804","DOIUrl":null,"url":null,"abstract":"In this paper a Cellular Neural Network Universal Machine structure is described. All the 19 coefficients in the 1-neighborhood can be controlled with six bit adjustability. The design has been processed with 0.8 micron CMOS technology. The cell dimensions are 114/spl times/118 /spl mu/m/sup 2/ including the global wiring. Both DC measurement and transient simulation results are reported in the paper.","PeriodicalId":68559,"journal":{"name":"电路与系统学报","volume":"33 1","pages":"545-548 vol.1"},"PeriodicalIF":0.0000,"publicationDate":"1997-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"电路与系统学报","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1109/ISCAS.1997.608804","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
In this paper a Cellular Neural Network Universal Machine structure is described. All the 19 coefficients in the 1-neighborhood can be controlled with six bit adjustability. The design has been processed with 0.8 micron CMOS technology. The cell dimensions are 114/spl times/118 /spl mu/m/sup 2/ including the global wiring. Both DC measurement and transient simulation results are reported in the paper.