DocumentCode
2516969
Title
A fast, complex and efficient test implementation of the CNN Universal Machine
Author
Cruz, J.M. ; Chua, L.O. ; Roska, T.
Author_Institution
Electron. Res. Lab., California Univ., Berkeley, CA, USA
fYear
1994
fDate
18-21 Dec 1994
Firstpage
61
Lastpage
66
Abstract
In this paper we report on a fast, complex and efficient implementation of the Cellular Neural Network Universal Machine as an IC chip. The chip has continuous time analog dynamics, and has been designed to process 500,000 image frames per second
Keywords
analogue integrated circuits; cellular neural nets; neural chips; 500,000 image frames per second; CNN Universal Machine; IC chip; cellular neural networks; continuous time analog dynamics; test implementation; Analog memory; Capacitors; Cellular neural networks; Laboratories; Logic circuits; Programmable logic arrays; Testing; Turing machines; USA Councils; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and their Applications, 1994. CNNA-94., Proceedings of the Third IEEE International Workshop on
Conference_Location
Rome
Print_ISBN
0-7803-2070-0
Type
conf
DOI
10.1109/CNNA.1994.381706
Filename
381706
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