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Abstract
The paper presents a method of processing measurement data due to remove slowly varying component of the trend occurring in the recorded waveforms. Comparison of computational complexity and trend removal efficiency between some commonly used methods is presented. The impact of these procedures on probability distribution and power spectral density is shown. Effectiveness and computational complexity of these methods depend essentially on nature of the removed trend. This paper describes several procedures: Moving Average Removal (MAR), fitting a polynomial of degree appropriate to the analyzed data, Empirical Mode Decomposition (EMD).
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- Category:
- Articles
- Type:
- artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
- Published in:
-
Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej
pages 111 - 114,
ISSN: 1425-5766 - Language:
- English
- Publication year:
- 2016
- Bibliographic description:
- Lentka Ł., Smulko J.: ANALYSIS OF EFFECTIVENESS AND COMPUTATIONAL COMPLEXITY OF TREND REMOVAL METHODS// Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej. -., nr. 51 (2016), s.111-114
- Verified by:
- Gdańsk University of Technology
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