ANALOG CMOS IMPLEMENTATION OF A DISCRETE-TIME CNN WITH PROGRAMMABLE CLONING TEMPLATES

In this paper an analog CMOS implementation of cells for building discrete time cellular neural networks (DT-CNN), based on current-mode multipliers and capacitive storage for the analog initial states and cloning templates, is presented. Since the cloning templates are programmable, the circuit could be used for several applications, or it could be reconfigured to sequentially perform different tasks on the initial input data. A chip prototype containing two DT-CNN cells has been designed and manufactured, and some experimental results showing the functionality of the circuit are provided.