A major problem in the VLSI implementation of cellular neural networks (CNNs) is that of achieving ease of programmability of the templates. The authors present a very efficient VLSI implementation of a digitally programmable transconductance amplifier for cellular neural network applications with discrete templates.
Sargeni, F. (1994). Digitally programmable transconductance amplifier for CNN applications. ELECTRONICS LETTERS, 30(11), 870-872 [10.1049/el:19940604].
Digitally programmable transconductance amplifier for CNN applications
SARGENI, FAUSTO
1994-01-01
Abstract
A major problem in the VLSI implementation of cellular neural networks (CNNs) is that of achieving ease of programmability of the templates. The authors present a very efficient VLSI implementation of a digitally programmable transconductance amplifier for cellular neural network applications with discrete templates.File in questo prodotto:
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