Affiliation:
1. Department of Measurement Science, Electronics and Control, Silesian University of Technology, ul. Akademicka 10, 44-100 Gliwice, Poland
Abstract
This paper discusses the role of the discrete wavelet transform algorithm in processing error signals present in the input quantities of the algorithm. In considering the error model of the measurement chain, the parameters of the error signals in the input quantities of the wavelet transform algorithm are estimated. Subsequently, in accounting for the algorithm’s properties, the parameters of its output values are determined, and the resulting uncertainty values of the output quantities of the measurement chain are estimated. The interval reduction arithmetic method is employed in the calculations for estimating the expanded uncertainty. All findings were validated through measurements conducted using the implemented measurement chain.
Funder
Polish National Science Centre
Rector of Silesian University of Technology
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