Ponencia
CMOS realization of a 2-layer CNN universal machine chip
Autor/es | Carmona Galán, Ricardo
Jiménez Garrido, Francisco José Domínguez Castro, Rafael Espejo Meana, Servando Carlos ![]() ![]() ![]() ![]() ![]() ![]() Rodríguez Vázquez, Ángel Benito ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 2002 |
Fecha de depósito | 2019-10-28 |
Publicado en |
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ISBN/ISSN | 981-238-121-X |
Resumen | Some of the features of the biological retina can be modelled by a cellular neural network (CNN) composed of two dynamically coupled layers of locally connected elementary nonlinear processors. In order to explore the ... Some of the features of the biological retina can be modelled by a cellular neural network (CNN) composed of two dynamically coupled layers of locally connected elementary nonlinear processors. In order to explore the possibilities of these complex spatio-temporal dynamics in image processing, a prototype chip has been developed by implementing this CNN model with analog signal processing blocks. This chip has been designed in a 0.5/spl mu/m CMOS technology. Design challenges, trade-offs and the building blocks of such a high-complexity system (0.5 /spl times/ 10/sup 6/ transistors, most of them operating in analog mode) are presented in this paper. |
Identificador del proyecto | N-00014-00-1-0429
![]() TIC-1999-0826 ![]() |
Cita | Carmona Galán, R., Jiménez Garrido, F.J., Domínguez Castro, R., Espejo Meana, S.C. y Rodríguez Vázquez, Á.B. (2002). CMOS realization of a 2-layer CNN universal machine chip. En IEEE International Workshop on Cellular Neural Networks and Their Applications (444-451), Frankfurt, Alemania: Institute of Electrical and Electronics Engineers. |
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