The successful development of cellular neural networks is dependent on hardware implementation. This letter presents a VLSI implementation of a multichip-oriented, fully programmable, 3×3 digitally programmable cellular neural network (DPCNN). This chip covers most of the available one-neighborhood templates for image processing applications. Moreover, it can be easily interconnected to others to carry out very large CNN arrays.
Sargeni, F., Bonaiuto, V. (1995). A Fully digitally programmable CNN chip. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. 2, ANALOG AND DIGITAL SIGNAL PROCESSING, 42(11), 741-745 [10.1109/82.475256].
A Fully digitally programmable CNN chip
SARGENI, FAUSTO;BONAIUTO, VINCENZO
1995-01-01
Abstract
The successful development of cellular neural networks is dependent on hardware implementation. This letter presents a VLSI implementation of a multichip-oriented, fully programmable, 3×3 digitally programmable cellular neural network (DPCNN). This chip covers most of the available one-neighborhood templates for image processing applications. Moreover, it can be easily interconnected to others to carry out very large CNN arrays.File in questo prodotto:
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