DocumentCode
2515988
Title
Evaluation of CNN template robustness towards VLSI implementation
Author
Kinget, Peter ; Steyaert, Michiel
Author_Institution
Dept. Electrotech., Katholieke Univ., Leuven, Belgium
fYear
1994
fDate
18-21 Dec 1994
Firstpage
381
Lastpage
386
Abstract
In this paper a method for the evaluation of the static robustness of cellular neural network (CNN) templates is proposed. From this evaluation the circuit accuracy specifications for a VLSI implementation can be derived which allows the designer to optimize the performance. Moreover, from this evaluation method guidelines for robust template designs can be derived and parameter testing templates can be developed
Keywords
VLSI; cellular neural nets; VLSI implementation; cellular neural network; circuit accuracy specifications; parameter testing; static robustness; template robustness; Cellular neural networks; Circuit testing; Design optimization; Digital circuits; Electronic mail; Gaussian distribution; Guidelines; Hardware; Robustness; Very large scale integration;
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.1994.381645
Filename
381645
Link To Document