INVESTIGADORES
JULIAN Pedro Marcelo
artículos
Título:
Simplicial RTD-based Cellular Nonlinear Networks
Autor/es:
12. P. JULIÁN, R. DOGARU, M. ITOH, M. HAENGGI, L. O. CHUA
Revista:
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS
Editorial:
IEEE
Referencias:
Lugar: NY, EEUU; Año: 2003 vol. 50 p. 500 - 509
ISSN:
1057-7122
Resumen:
Recently, a novel structure called the simplicial cellular
neural network (CNN) has been introduced [1], which permits
to implement any Boolean/Gray-level function of any number
of variables. This paper is devoted to explore novel circuit architectures
for the implementation of the simplicial CNN based on resonant
tunneling diodes. The final objective is to implement a fully
programmable CNN in a hardware platform based on nanoelectronic
devices.
