Title :
A CNN chip for connected component detection
Author :
Cruz, J.M. ; Chua, L.O.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
fDate :
7/1/1991 12:00:00 AM
Abstract :
The first working chips that implement a cellular neural network (CNN) are reported. They have been integrated in a CMOS 2-μm technology, and are intended for connected component detection processing applications. The operation is made in continuous time using analog circuitry. The design, fabrication, and testing of these chips are presented
Keywords :
CMOS integrated circuits; analogue circuits; neural nets; CMOS; CNN chip; analog circuitry; cellular neural network; connected component detection; continuous time; design; fabrication; testing; CMOS technology; Capacitors; Cellular neural networks; Circuit analysis; Circuit stability; Image processing; Integrated circuit interconnections; Transconductance; Very large scale integration; Voltage;
Journal_Title :
Circuits and Systems, IEEE Transactions on
