Ponencia
Mixed-signal CNN array chips for image processing
Autor/es | Rodríguez Vázquez, Ángel Benito
Espejo Meana, Servando Carlos Domínguez Castro, Rafael Carmona Galán, Ricardo Roca Moreno, Elisenda |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 1996 |
Fecha de depósito | 2020-03-12 |
Publicado en |
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ISBN/ISSN | 0277-786X |
Resumen | Due to their local connectivity and wide functional capabilities, cellular nonlinear networks (CNN) are excellent candidates for the implementation of image processing algorithms using VLSI analog parallel arrays. However, ... Due to their local connectivity and wide functional capabilities, cellular nonlinear networks (CNN) are excellent candidates for the implementation of image processing algorithms using VLSI analog parallel arrays. However, the design of general purpose, programmable CNN chips with dimensions required for practical applications raises many challenging problems to analog designers. This is basically due to the fact that large silicon area means large development cost, large spatial deviations of design parameters and low production yield. CNN designers must face different issues to keep reasonable enough accuracy level and production yield together with reasonably low development cost in their design of large CNN chips. This paper outlines some of these major issues and their solutions. |
Cita | Rodríguez Vázquez, Á.B., Espejo Meana, S.C., Domínguez Castro, R., Carmona Galán, R. y Roca Moreno, E. (1996). Mixed-signal CNN array chips for image processing. En Advanced Focal Plane Arrays and Electronic Cameras (218-229), Berlín, Alemania: The International Society for Optical Engineering. |
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