Title :
Current mode cellular neural network with digitally adjustable template coefficients
Author :
Paasio, A. ; Halonen, K. ; Porra, V. ; Dawidziuk, A.
Author_Institution :
Electron. Circuit Design Lab., Helsinki Univ. of Technol., Espoo, Finland
Abstract :
A current mode implementation is presented for a cellular neural network (CNN) with digitally controllable coefficients. The controllability is achieved by applying proper bias voltages to cascode current mirrors. The test circuit is a 1×5 CNN fabricated in a 1.2 μm CMOS process. Measurement results are reported for connected component, shadow and holefiller templates
Keywords :
CMOS analogue integrated circuits; analogue processing circuits; cellular neural nets; neural chips; 1.2 micron; CMOS process; bias voltages; cascode current mirrors; cellular neural network; current mode implementation; digitally adjustable template coefficients; Cellular neural networks; Circuit simulation; Circuit testing; Current measurement; Electronic circuits; Inverters; Joining processes; Mirrors; Switches; Variable structure systems;
Conference_Titel :
Microelectronics for Neural Networks and Fuzzy Systems, 1994., Proceedings of the Fourth International Conference on
Conference_Location :
Turin
Print_ISBN :
0-8186-6710-9
DOI :
10.1109/ICMNN.1994.593719
