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
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;
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
DOI :
10.1109/ISCAS.1998.703934
