DocumentCode
3021909
Title
ADC based measurements: Identification of the parameters for the uncertainty evaluation
Author
Spatar, Ciro
Author_Institution
Dept. of Electr., Electron. & Telecommun. Eng., Univ. of Palermo, Palermo, Italy
fYear
2009
fDate
6-7 July 2009
Firstpage
80
Lastpage
84
Abstract
In the last years, many Authors have dealt with the uncertainty evaluation of the measurement performed by using an analog-to-digital converter, proposing different approach to analyze the uncertainty propagation. In all these studies, it is clearly pointed out that starting from the manufacturer specifications is the least expensive, the least time consuming and, often, the most accurate way to assess the uncertainties. However, the Authors, which have proposed methodologies for the uncertainty assessment, use different parameters as starting point. One of the main reasons which has caused this situation is the coexistent of various Standards concerning the characterization of the analog-to-digital converters. Target of the paper is the choice, among the large number of parameters proposed by the various Standards, of a minimum set of figures of merit which allows a correct uncertainty evaluation of a generic measurement performed by using an analog-to-digital converter.
Keywords
Monte Carlo methods; analogue-digital conversion; measurement uncertainty; ADC based measurements; Monte Carlo methods; analog-to-digital converters; uncertainty evaluation; Analog-digital conversion; Conferences; Data acquisition; Electric variables measurement; Instruments; Manufacturing; Measurement standards; Measurement uncertainty; Performance analysis; Performance evaluation; A/D conversion based measurements; Monte Carlo method; uncertainty evaluation;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Methods for Uncertainty Estimation in Measurement, 2009. AMUEM 2009. IEEE International Workshop on
Conference_Location
Bucharest
Print_ISBN
978-1-4244-3593-7
Electronic_ISBN
978-1-4244-3593-7
Type
conf
DOI
10.1109/AMUEM.2009.5207597
Filename
5207597
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