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 :
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