DocumentCode
1644378
Title
Optically realized feedback cellular neural networks
Author
Slot, K.
Author_Institution
Inst. of Electron., Tech. Univ. of Lodz
fYear
1992
Firstpage
175
Lastpage
180
Abstract
An optical implementation of cellular neural networks (CNNs), defined by a template with a nonzero feedback operator, is discussed. Two design rules which consider a transient duration of optically realized CNNs are formulated. Possible methods of improving the processing properties of optically realized CNNs are presented. The application of the two design rules can result in an increase in the processing speed of some optically realized feedback CNN applications. A signal dynamic range shift in the electronic feedback path of the system yields an increase in the resolution of images which are subject to optical processing
Keywords
cellular arrays; feedback; image processing; optical neural nets; electronic feedback path; image resolution; nonzero feedback operator; optically realized feedback cellular neural networks; signal dynamic range shift; Cellular neural networks; Dynamic range; Image resolution; Neurofeedback; Optical computing; Optical design; Optical feedback; Optical fiber networks; Signal processing; Signal resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and their Applications, 1992. CNNA-92 Proceedings., Second International Workshop on
Conference_Location
Munich
Print_ISBN
0-7803-0875-1
Type
conf
DOI
10.1109/CNNA.1992.274372
Filename
274372
Link To Document