Programmable non-linearity for STAR cellular neural networks
F. Sargeni, Vincenzo Bonaiuto · 2009
The implementation of a feasible circuital solution for modeling complex systems as STAR cellular neural networks requires circuits with features and performances tailored for the specific application. In particular, this paper deals with the design of a current mode digitally programmable non-linearity that has been properly developed for a "time-division architecture" implementation of a first order STAR CNN system.