In the paper a concept of reprogrammable Cellular Neural Network realized with multiple-input transconductance amplifiers is presented. A methodology of the circuit design is given, based on the CMOS VLSI technology. This approach is especially attractive for realization of CNNs for real-time image processing since it enables controlling the system templates parameters required during the processing task. The theoretical considerations are illustrated by computer simulation of connected component detector and by measurements of the characteristics of manufactured amplifier
Published in:
Electronics, Circuits and Systems, 1998 IEEE International Conference on
(Volume:3
)
Date of Conference: 1998