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1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359)最新文献

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Programmable chaos generator, based on CNN architectures, with applications in chaotic communications 基于CNN架构的可编程混沌发生器，在混沌通信中的应用
1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359) Pub Date : 1998-04-14 DOI: 10.1109/CNNA.1998.685347
R. Caponetto, M. Criscione, L. Fortuna, D. Occhipinti, L. Occhipinti
{"title":"Programmable chaos generator, based on CNN architectures, with applications in chaotic communications","authors":"R. Caponetto, M. Criscione, L. Fortuna, D. Occhipinti, L. Occhipinti","doi":"10.1109/CNNA.1998.685347","DOIUrl":"https://doi.org/10.1109/CNNA.1998.685347","url":null,"abstract":"The paper deals with one of the most challenging application in the field of chaos theory; the chaotic communication. A new model of a programmable device for chaos generation, oriented to chaotic communications, will be reported, together with some examples. The basic building blocks of the circuit, synthesized by using a 0.5 /spl mu/m CMOS technology, are described as well as their design, characteristics and functionality. Several chaotic dynamics are obtained by selecting a set of digital parameters. A chaotic communication scheme, which is based, on the inverse system synchronization method, is finally described, and a brief overview of possible application fields, engineering challenges and issues will be carried out.","PeriodicalId":171485,"journal":{"name":"1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131814336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 16
A CNN video based control system for a coal froth flotation 基于CNN视频的煤浮泡控制系统
1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359) Pub Date : 1998-04-14 DOI: 10.1109/CNNA.1998.685362
L. Jeanmeure, W.B.J. Zimmerman
{"title":"A CNN video based control system for a coal froth flotation","authors":"L. Jeanmeure, W.B.J. Zimmerman","doi":"10.1109/CNNA.1998.685362","DOIUrl":"https://doi.org/10.1109/CNNA.1998.685362","url":null,"abstract":"The design of a control system to monitor a coal froth flotation process is considered. This system is based upon a hydrodynamic model for the resistance and a feedback loop consisting of an image processing application that is responsible for extracting relevant parameters from a video image of the froth. This paper deals with the application of the CNN technology in the design of a prototype control system. A description of the low level image processing methods implemented is given as well as comments on the problems encountered during the design of a prototype control system using a new technology such as the cellular neural network paradigm.","PeriodicalId":171485,"journal":{"name":"1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132156282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Early segmentation in video compression using CNN processors CNN处理器在视频压缩中的早期分割
1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359) Pub Date : 1998-04-14 DOI: 10.1109/CNNA.1998.685359
K. László, F. Ziliani, T. Roska, Murat Kunt
{"title":"Early segmentation in video compression using CNN processors","authors":"K. László, F. Ziliani, T. Roska, Murat Kunt","doi":"10.1109/CNNA.1998.685359","DOIUrl":"https://doi.org/10.1109/CNNA.1998.685359","url":null,"abstract":"Two analogic (analog and logic) CNN algorithms are presented which segment a video sequence into objects. The algorithms are mainly based on 3 by 3, linear templates. This allows the CNN Universal Machine to execute the task achieving enormous computation speed (10/sup 12/ equivalent operation per second). The proposed segmentation algorithms rely on texture and contour information only. They differ in the use or not of the color information. The estimated execution time proves that the proposed segmentation method may be implemented in real time. This result and the quality of the obtained frame description are very appealing in the context of the new video coding standard MPEG-4.","PeriodicalId":171485,"journal":{"name":"1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128555866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
A 2D DPCM scheme using cellular neural networks 基于细胞神经网络的二维DPCM方案
1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359) Pub Date : 1998-04-14 DOI: 10.1109/CNNA.1998.685398
M. Çelebi, C. Guzelis
{"title":"A 2D DPCM scheme using cellular neural networks","authors":"M. Çelebi, C. Guzelis","doi":"10.1109/CNNA.1998.685398","DOIUrl":"https://doi.org/10.1109/CNNA.1998.685398","url":null,"abstract":"We formulate differential pulse code modulation (DPCM) for image compression as the minimization of a quadratic cost function. Non-causal interpolation error image in lieu of causal prediction error image can be coded in this fashion providing efficient compression. We implement the optimization process through the dynamics of cellular neural networks (CNNs). Two CNNs, one of them operated in binary mode and the other in gray level mode, are used in the coding stage. The first CNN creates an optimum differential image while the other tries to create a replica of the reconstructed image of the receiver. Decoding is realized by another gray level mode CNN fed by the differential image.","PeriodicalId":171485,"journal":{"name":"1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1998-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129341058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
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