DocumentCode
1587984
Title
An analysis of CNN settling time
Author
Hänggi, Martin ; Moschytz, George S.
Author_Institution
Signal & Inf. Process. Lab., Fed. Inst. of Technol., Zurich, Switzerland
Volume
3
fYear
1998
Firstpage
155
Abstract
The settling time of cellular neural networks (CNNs) is crucial for both simulation and applications of VLSI CNN chips. The computational effort for the numerical integration may be drastically reduced, and CNN programs can be optimized, if a priori knowledge on the settling time is available. Moreover, this allows the parameters necessary to achieve higher processing speed to be tuned. For certain template classes, we present analytic solutions, while for others, tight upper bounds are given
Keywords
VLSI; cellular neural nets; neural chips; CNN; VLSI; a priori knowledge; cellular neural networks; numerical integration; processing speed; settling time; template classes; tight upper bounds; Cellular neural networks; Computational modeling; Differential equations; Information processing; Laboratories; Piecewise linear techniques; Signal processing; Upper bound; Very large scale integration; Web sites;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on
Conference_Location
Monterey, CA
Print_ISBN
0-7803-4455-3
Type
conf
DOI
10.1109/ISCAS.1998.703934
Filename
703934
Link To Document