• DocumentCode
    880523
  • Title

    ADC neural modeling

  • Author

    Bernieri, Andrea ; Daponte, Pasquale ; Grimaldi, Domenico

  • Author_Institution
    Dept. of Ind. Eng., Cassino Univ., Italy
  • Volume
    45
  • Issue
    2
  • fYear
    1996
  • fDate
    4/1/1996 12:00:00 AM
  • Firstpage
    627
  • Lastpage
    633
  • Abstract
    The paper deals with a neural network-based approach for A/D converter (ADC) modeling. This approach is initially developed with reference to an ADC mathematical model, allowing the neural modeling to be properly setup. Subsequently, a neural model of a real ADC is identified and validated, highlighting the performance of the proposed approach in terms of ease of model building and result accuracy
  • Keywords
    analogue-digital conversion; circuit analysis computing; electronic equipment testing; equivalent circuits; identification; neural net architecture; A/D converter; ADC; mathematical model; model budding; neural modeling; neural network; performance; Analog circuits; Analog-digital conversion; Artificial neural networks; Buildings; Circuit analysis; Circuit simulation; Helium; Mathematical model; Neural networks; System testing;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/19.492800
  • Filename
    492800
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=880523