Hardware implementations for CNN (Cellular Neural Network)-based nonautonomous MLC circuit

Cellular Neural Network (CNN)-based chaos generators have attracted considerable interest, and many theoretical and experimental studies related to these generators have been presented in the literature. Alternative hardware solutions are important for design and implementation of CNN-based chaos generators. In this paper, CNN-based nonautonomous MLC system, is introduced and two different hardware implementations are proposed for this system. While the first hardware solution use the classical analog circuitry design, the other one consists of programmable and reconfigurable IC technique. Experimental results verify the design and implementation issues.