SC-CNN based multifunction signal generator


Kilic R.

INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, cilt.17, sa.12, ss.4387-4393, 2007 (SCI-Expanded) identifier

Özet

This paper presents a very versatile multifunction signal generator tool. The proposed generator is based on State Controlled Cellular Neural Network (SC-CNN) based Chua's circuit and it has two signal generation modes, namely CM (Chaos Mode) and FM (Function Mode). While the generator is able to produce nonlinear chaotic waveforms in Chaos Mode, it is also able to generate other classical sinusoidal, triangle and square waveforms in Function Mode. The proposed design idea has been validated through computer simulations and laboratory experiments. Future studies with the proposed generator tool will contribute to further developments in SC-CNN based engineering applications.