The paper deals with a neural network based approach for A/D converter modeling. This approach is initially developed with reference to an A/D converter mathematical model, allowing the neural modeling to be properly set-up. Subsequently, a neural model of a real A/D converter is identified and validated, highlighting the performance of the proposed approach in terms of ease of the model building and result accuracy.

ADC neural modeling

Daponte, Pasquale;Grimaldi, Domenico
1995

Abstract

The paper deals with a neural network based approach for A/D converter modeling. This approach is initially developed with reference to an A/D converter mathematical model, allowing the neural modeling to be properly set-up. Subsequently, a neural model of a real A/D converter is identified and validated, highlighting the performance of the proposed approach in terms of ease of the model building and result accuracy.
Instrumentation
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/285356
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 4
  • ???jsp.display-item.citation.isi??? ND
social impact