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IMPROVED ESTIMATE OF PARAMETRIC MODELS FOR ANALOGUE TO DIGITAL CONVERTERS BY USING WEIGHTED INTEGRAL NONLINEARITY DATA

Niclas Björsell, Peter Händel, Magnus Jansson, Samer Medawar
  • Abstract:
    Error modelling has played a major role in generating post-corrections of analogue to digital converters (ADC). Benefits by using parametric models for post-correction are that they requires less memory and that they are easier to identify for arbitrary signals. However, the parameters are estimated in two steps; firstly, the integral nonlinearity (INL) is estimated and secondly, the model parameters. In this paper we propose a method to improve the performance in the second step, by utilizing information about the statistical properties of the first step.
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  • DOI:
    _unreg_iwadc-2010.069

Event details:

  • IMEKO TC:
    TC4
  • Event name:
    "Instrumentation for the Information and Communication Technology Era"
  • Title:
    15th International Workshop on ADC Modelling and Testing & XVIIth IMEKO TC4 Symposium (together with 3rd IMEKO TC19 Symposium) (IWADC)
  • Place:
    Kosice, SLOVAKIA
  • Time:
    08 September 2010 - 10 September 2010