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.

Sargeni, F., Bonaiuto, V. (2005). Programmable CNN analogue chip for RD-PDE multi-method simulations. ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING, 44(3), 283-292 [10.1007/s10470-005-3015-x].

Programmable CNN analogue chip for RD-PDE multi-method simulations

SARGENI, FAUSTO;BONAIUTO, VINCENZO
2005-01-01

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.
2005
Pubblicato
Rilevanza internazionale
Articolo
Sì, ma tipo non specificato
Settore ING-IND/31 - ELETTROTECNICA
English
Analog circuit; Cellular neural networks; PDE; VLSI
Sargeni, F., Bonaiuto, V. (2005). Programmable CNN analogue chip for RD-PDE multi-method simulations. ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING, 44(3), 283-292 [10.1007/s10470-005-3015-x].
Sargeni, F; Bonaiuto, V
Articolo su rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/38647
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