REGULARISED DIFFERENTIATION OF MEASUREMENT DATA |
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| 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
- Download:
- IMEKO-WC-2015-TC21-406.pdf
- DOI:
- -
- Event details
- Event name:
- XXI IMEKO World Congress
- Title:
Measurement in Research and Industry
- Place:
- Prague, CZECH REPUBLIC
- Time:
- 30 August 2015 - 04 September 2015