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REGULARISED DIFFERENTIATION OF MEASUREMENT DATA

Jakub Wagner, Paweł Mazurek, Roman Z. Morawski
  • Abstract:
    The paper is devoted to the numerical differentiation of measurement data. A new method, based on analytical differentiation of the least-squares approximation of data by means of shifted trigonometric functions, is proposed. It is compared with the most popular method of central difference and with a specialised version of the Kalman filter. Some conclusions, concerning metrological applicability of all three methods, are drawn.
  • Keywords:
    measurand reconstruction, numerical differentiation, regularisation
  • DOI:
    _unreg_wc-2015.406

Event details:

  • IMEKO TC:
  • Event name:
    XXI IMEKO World Congress
  • Title:

    Measurement in Research and Industry

  • Place:
    Prague, CZECH REPUBLIC
  • Time:
    30 August 2015 - 04 September 2015