English   español  
Por favor, use este identificador para citar o enlazar a este item: http://hdl.handle.net/10261/85180
COMPARTIR / IMPACTO:
Estadísticas
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

Título

A behavioural modelling technique for visual microprocessor mixed-signal VLSI chips

AutorFöldesy, P.; Rodríguez-Vázquez, Ángel
Fecha de publicación2002
EditorWiley-Blackwell
CitaciónInternational Journal of Circuit Theory and Applications 30(2-3): 139-163 (2002)
ResumenThis paper describes procedures to build custom-tailored behavioural models of cellular neural networks (CNNs), and acompanion tool to run these models. The main property of the CNNs is the emerging behaviour, i.e. new phenomena arise from the interactions of thousands of identical cells. The existence of these phenomena need is to be checked during the design phase, which requires a full network simulation and therefore constitutes a very time-consuming step of circuit verification. To solve this task as a modelling problem, we introduce a new behavioural model optimization technique. Starting from a user-defined set of block models, the proposed framework produces an optimized selection which is used to build up a full-chip model. The optimization goal is the minimization of the simulation CPU time and the maximization of the time domain precision. A dedicated environment has been developed for efficient numerical simulation; this environment is briefly described in the paper. Two case studies are also presented to demonstrate the effectivity of the technique. Copyright © 2002 John Wiley & Sons, Ltd.
URIhttp://hdl.handle.net/10261/85180
DOI10.1002/cta.193
Identificadoresdoi: 10.1002/cta.193
issn: 0098-9886
e-issn: 1097-007X
Aparece en las colecciones: (IMSE-CNM) Artículos
Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
accesoRestringido.pdf15,38 kBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo
 

Artículos relacionados:


NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.