EVALUATION OF UNCERTAINTY IN DIGITAL PROCESSING OF QUANTIZED DATA

Nicola Locci, Carlo Muscas, Emilio Ghiani

Abstract

The paper deals with the uncertainty in measurement based on digital signal processing algorithms, like those achievable with the virtual instruments. The correct estimation of bias and uncertainty is discussed with reference to a simple case study. Three possible approaches to this question are examined and compared. It is shown how a Monte Carlo method, based on numerical simulations and implemented with commercial software packages, can allow virtual instruments to perform an auto-evaluation of both bias and uncertainty affecting their results. Some theoretical considerations, computer simulations and experimental tests are shown to support the proposed technique.

Keywords

measurement uncertainty, digital signal processing, virtual instruments, sampled data

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IMEKO-TC4-2001-056.pdf

DOI

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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