Programmable CNN Analogue Chip for RD-PDE Multi-Method Simulations |
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Authors: | Email author" target="_blank">Fausto?SargeniEmail author Vincenzo?Bonaiuto |
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Affiliation: | (1) Department of Electronic Engineering, University of Rome “Tor Vergata”, Via del Politecnico 1, 00133 Rome, Italy |
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Abstract: | Cellular Non Linear Networks can be useful applied for the solution of several types of Partial Differential Equations (PDEs).
This paper will describe an analogue circuit implementation for the simulation of one-dimensional Reaction-Diffusion PDE with
the possibility to set different boundary conditions as well as to select different discretization methodologies.
Fausto Sargeni was born in Riano (ROMA) in 1961. He received the Dipl. Eng. degree in Electronic Engineering at the University of Rome “La
Sapienza" in 1987. In 1989 he jointed the Dept. of Electronic Engineering at the University of Rome “Tor Vergata" as Assistant
Professor. In 1998 he became Associate Professor. His research interests include analog VLSI circuits for non linear circuits
and high-speed interconnections.
Vincenzo Bonaiuto was born in Rome, Italy, in 1962. He received the Dipl. Eng. degree in Electronic Engineering at the University of Rome “La
Sapienza". In 1997 he received the the Ph.D. in Telecommunication and Microelectronics. In 1996 he jointed the Electronic
Engineering Dept. as Assistant Professor at the University of Rome “Tor Vergata” and, in 2002, he became Associate Professor.
His main research interests are in the area of non linear circuits, Artificial Neural Networks analogue/digital VLSI circuits
implementation. |
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Keywords: | analog circuit VLSI Cellular neural networks PDE |
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