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REGULARISED DIFFERENTIATION OF MEASUREMENT DATA
Jakub Wagner, Paweł Mazurek, Roman Z. Morawski
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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.
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Keywords:measurand reconstruction, numerical differentiation, regularisation
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DOI:_unreg_wc-2015.406
Event details:
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IMEKO TC:
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Event name:XXI IMEKO World Congress
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Title:
Measurement in Research and Industry
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Place:Prague, CZECH REPUBLIC
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Time:30 August 2015 - 04 September 2015