A new current-mode programmable cellular neural network

We report on the design of a new full-analog currend-mode CNN in a 1.2 um CMOS technology, whose cell core is characterized by an intrinsic capability of weights control, low power consumption and small area occupation. Circuit simulations allowed the design approach to be validated and the electrical performance of the CNN to be predicted; moreover, it is shown that the proposed CNN can be successfully adopted for several applications in image processing. A preliminary CNN test-chip, consisting of a 8x1 array for CCD and shadow detection, is currently being fabricated at IRST (Trento, Italy) in a 2.5 um CMOS technology

Titolo: A new current-mode programmable cellular neural network
Autori: 
Dalla Betta, Gian Franco
mostra contributor esterni 
Data di pubblicazione: 1998
Abstract: We report on the design of a new full-analog currend-mode CNN in a 1.2 um CMOS technology, whose cell core is characterized by an intrinsic capability of weights control, low power consumption and small area occupation. Circuit simulations allowed the design approach to be validated and the electrical performance of the CNN to be predicted; moreover, it is shown that the proposed CNN can be successfully adopted for several applications in image processing. A preliminary CNN test-chip, consisting of a 8x1 array for CCD and shadow detection, is currently being fabricated at IRST (Trento, Italy) in a 2.5 um CMOS technology
Handle: http://hdl.handle.net/11582/1720
Appare nelle tipologie:4.1 Contributo in Atti di convegno

File in questo prodotto:
Non ci sono file associati a questo prodotto.
Utilizza questo identificativo per citare o creare un link a questo documento:
http://hdl.handle.net/11582/1720
  • Citazioni
  • PubMed Central ND
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
 
 
 
Powered by IRIS-about IRIS-Utilizzo dei cookie
Logo CINECA  Copyright © 2021