A fully digitally programmable CNN chip
- 1 January 1995
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing
- Vol. 42 (11) , 741-745
- https://doi.org/10.1109/82.475256
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 arraysKeywords
This publication has 12 references indexed in Scilit:
- Digitally controllable weights in current mode cellular neural networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A programmable analog cellular neural network CMOS chip for high speed image processingIEEE Journal of Solid-State Circuits, 1995
- DPCNN: a modular chip for large CNN arraysPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1995
- Digitally programmable transconductance amplifierfor CNN applicationsElectronics Letters, 1994
- High performance digitally programmable CNN chip with discrete templatesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1994
- Very efficient VLSI implementation of CNN with discrete templatesElectronics Letters, 1993
- Analog CMOS implementation of a discrete time CNN with programmable cloning templatesIEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 1993
- Current-mode techniques for the implementation of continuous- and discrete-time cellular neural networksIEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, 1993
- Programmable analogue vlsi cnn chip with local digital logicInternational Journal of Circuit Theory and Applications, 1992
- A CNN chip for connected component detectionIEEE Transactions on Circuits and Systems, 1991