Programmable analog VLSI CNN chip with local digital logic
Kari A. I. Halonen, Veikko Porra, T. Roska, Leon Ong Chua · 1991
A new integrated circuit cellular neural network (CNN) implementation having digitally or continuously selectable template coefficients is presented. Local logic and memory are added into each cell providing a simple dual (analog and digital) computing structure. The variable-gain operational transconductance amplifiers (OTAs) are used as the voltage controlled current sources to program the template element values. This analog array processor can be applied to solve problems with a sequence of different templates. A 4-by-4 CNN circuit is realized using the 2- mu m analog CMOS process. To test the circuit a general purpose control system was designed with the microcomputer interface.>