Ponencia
Accurate design of analog CNN in CMOS digital technologies
Autor/es | Rodríguez Vázquez, Ángel Benito
Domínguez Castro, Rafael Huertas Díaz, José Luis |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 1990 |
Fecha de depósito | 2019-11-05 |
Publicado en |
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Resumen | Explores the design of cellular neural networks (CNN) by using sampled-data analog current-mode techniques which neither requires capacitors nor resistors but just MOS transistors. The feature makes the proposed technique ... Explores the design of cellular neural networks (CNN) by using sampled-data analog current-mode techniques which neither requires capacitors nor resistors but just MOS transistors. The feature makes the proposed technique well suited for implementation in conventional VLSI MOS technologies. A set of building blocks is presented and their performance validated by device-level simulation results. Also, guidelines are given concerning the choice of the circuit parameters for optimum operation. |
Cita | Rodríguez Vázquez, Á.B., Domínguez Castro, R. y Huertas Díaz, J.L. (1990). Accurate design of analog CNN in CMOS digital technologies. En IEEE International Workshop on Cellular Neural Networks and their Applications (273-280), Budapest, Hungría: Institute of Electrical and Electronics Engineers. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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ACCURATE DESIGN OF ANALOG CNN.pdf | 354.1Kb | [PDF] | Ver/ | |