CNNUC3: A Mixed-Signal 64 x 64 CNN Universal Chip

Authors:
Gustavo Liñán;Servando Espejo;Rafael Domínguez-Castro;Ángel Rodríguez-Vázquez;Elisenda Roca
Affiliations:
-;-;-;-;-
Venue:
MICRONEURO '99 Proceedings of the 7th International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems
Year:
1999

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Abstract

This paper describes the general characteristics of a prototype implementation of a 64 x 64 cells Cellular Neural Network (CNN) with enhanced functionalities in the direction of the CNN Universal Chip concept. The mixed-signal prototype has been designed and manufactured in a CMOS 0.5mm technology. It is conceived to be the core component of a new class of video-processing systems for advanced multimedia applications.