Ponencia
Mixed signal CMOS high precision circuits for on chip learning
Autor/es | Vidal Verdú, Fernando
Navas González, Rafael Rodríguez Vázquez, Ángel Benito |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 1998 |
Fecha de depósito | 2019-10-17 |
Publicado en |
|
ISBN/ISSN | 0-7803-4455-3 |
Resumen | Learning algorithms have become of great interest to be applied not only to neural or hybrid neuro-fuzzy systems, but also as a tool to achieve a fine tuning of analog circuits, whose main drawback is their lack of precision. ... Learning algorithms have become of great interest to be applied not only to neural or hybrid neuro-fuzzy systems, but also as a tool to achieve a fine tuning of analog circuits, whose main drawback is their lack of precision. This paper presents accurate, discrete-time CMOS building blocks to implement learning rules on-chip. Specifically, a voltage mode high precision comparator as well as an absolute value circuit. These blocks, plus multiplexing in time techniques, are used to build a circuit to determine the polarity of the learning increments. An exemplary circuit has been simulated with HSPICE with the parameters of a 1 /spl mu/m CMOS technology. Statistical variations of technological parameters were considered. The results show that all curves from 30 runs of a Monte Carlo analysis behave as expected, and at least 8 bits of resolution are achieved by the proposed techniques. |
Cita | Vidal Verdú, F., Navas González, R. y Rodríguez Vázquez, Á.B. (1998). Mixed signal CMOS high precision circuits for on chip learning. En 1998 IEEE International Symposium on Circuits and Systems (ISCAS) (111-50-111-53), Monterrey, USA: Institute of Electrical and Electronics Engineers. |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
Mixed signal CMOS high precisi ... | 435.4Kb | [PDF] | Ver/ | |