JOURNAL ARTICLE
A current-mode cellular neural network implementation
J.E. VarrientosE. Sánchez‐SinencioJ. Ramírez‐Angulo
Year: 1993 Journal: IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing Vol: 40 (3)Pages: 147-155 Publisher: Institute of Electrical and Electronics Engineers
Abstract
A compact and efficient current-mode circuit implementation for a cellular neural network is presented. The implementation presented consists of current amplifiers, simple current mirrors, simple current sources, and transconductors. Experimental results from first-generation CMOS monolithic prototypes with fixed connection weights show the feasibility of the proposed implementation by successfully performing edge detection and noise removal image processing.< >
Keywords:
CMOS Simple (philosophy) Current (fluid) Artificial neural network Computer science Noise (video) Connection (principal bundle) Mode (computer interface) Amplifier Enhanced Data Rates for GSM Evolution Cellular neural network Electronic engineering Electrical engineering Artificial intelligence Engineering Image (mathematics)
Metrics
54
Cited By
3.05
FWCI (Field Weighted Citation Impact)
53
Refs
0.90
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Neural Networks Stability and Synchronization
Physical Sciences → Computer Science → Computer Networks and Communications
Neural Networks and Applications
Physical Sciences → Computer Science → Artificial Intelligence
Advanced Memory and Neural Computing
Physical Sciences → Engineering → Electrical and Electronic Engineering
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