ANALOG CMOS IMPLEMENTATION OF CELLULAR NEURAL NETWORKS

The analog CMOS circuit realization of cellular neural networks with t ransconductance elements is presented. This realization can be easily adapted to various types of applications in image processing just by c hoosing the appropriate transconductance parameters according to the p redetermined coefficients. The effectiveness of the designed circuits for connected component detection is shown by HSPICE simulations. For ''fixed function'' cellular neural network circuits the number of tran sistors are reduced further by using multi-input transconductance elem ents.