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Proceedings Paper

Mixed-signal CNN array chips for image processing
Author(s): Angel Rodriguez-Vazquez; Servando Espejo Meana; R. Dominguez-Castro; Ricardo Carmona; Elisenda Roca
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Paper Abstract

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.

Paper Details

Date Published: 19 December 1996
PDF: 12 pages
Proc. SPIE 2950, Advanced Focal Plane Arrays and Electronic Cameras, (19 December 1996); doi: 10.1117/12.262527
Show Author Affiliations
Angel Rodriguez-Vazquez, Univ. de Sevilla (Spain)
Servando Espejo Meana, Univ. de Sevilla (Spain)
R. Dominguez-Castro, Univ. de Sevilla (Spain)
Ricardo Carmona, Univ. de Sevilla (Spain)
Elisenda Roca, Univ. de Sevilla (Spain)


Published in SPIE Proceedings Vol. 2950:
Advanced Focal Plane Arrays and Electronic Cameras
Thierry M. Bernard, Editor(s)

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