DocumentCode
3109561
Title
Cellular neural network implementations: a current mode approach
Author
Varrientos, J. ; Ramirez-Angulo, J. ; Sánchez-Sinencio, E.
Author_Institution
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
fYear
1990
fDate
16-19 Dec 1990
Firstpage
216
Lastpage
225
Abstract
A current-mode CMOS circuit implementation of a cellular neural network is discussed. The implementation mimics classical cellular automata and has been designed for image processing. Signals are processed in current mode using simple current mirrors, inverters, and sources. Simulations for networks constructed have shown effectiveness in edge detection and noise removal
Keywords
CMOS integrated circuits; cellular arrays; computerised picture processing; microprocessor chips; neural nets; parallel architectures; CMOS IC; cellular neural network; current mirrors; current mode; edge detection; image processing; inverters; noise removal; Cellular neural networks; Circuit noise; Circuit simulation; Equations; Image edge detection; Image processing; Integrated circuit interconnections; Semiconductor device modeling; Transconductance; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and their Applications, 1990. CNNA-90 Proceedings., 1990 IEEE International Workshop on
Conference_Location
Budapest
Type
conf
DOI
10.1109/CNNA.1990.207527
Filename
207527
Link To Document