A current-mode cellular neural network implementation
J.E. Varrientos, E. Sánchez‐Sinencio, Jaime Ramirez‐Angulo · IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing · 1993
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.>