A VLSI-Oriented Continuous-Time CNN Model

This paper presents an analysis of the stability and convergence properties of the Full Signal Range CNN model. These properties are demonstrated to be similar to those of the Chua-Yang’s model, and the I/O mapping of known applications is shown to be unaffected by the modification introduced in this new model. In this modified CNN model, the dynamic range of the cell state-variables equals the dynamic range of the cell output variables, and is invariant with the application. This feature results in simpler circuit implementations, thus allowing higher cell densities and improving the robustness of CNN integrated circuits. In particular the Full Signal Range CNN model is specially well-suited for programmable CNN integrated circuits with binary outputs. Front-Page Footnotes: 1 2 1. Part of this research has been reported in the Proceedings of the 1994 Int. Workshop on Cellular Neural Networks and their Applications, held in Rome [17]. 2. Research of Ricardo Carmona has been partially supported by IBERDROLA, S.A. under contract INDES-94/377.