DocumentCode
1163014
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
Volume
38
Issue
7
fYear
1991
fDate
7/1/1991 12:00:00 AM
Firstpage
812
Lastpage
817
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;
fLanguage
English
Journal_Title
Circuits and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0098-4094
Type
jour
DOI
10.1109/31.135756
Filename
135756
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