Influence of frequency errors in the variance of the cumulative histogram in ADC testing

In this paper, the calculation of the variance in the number of counts of the cumulative histogram used for the characterization of analog-to-digital converters (ADCs) with the histogram method is presented. All cases of frequency error, number of periods of the stimulus signal, and number of sample...

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Bibliographic Details
Published inIEEE transactions on instrumentation and measurement Vol. 50; no. 2
Main Authors Alegria, FAC, da Cruz Serra, AM
Format Journal Article
LanguageEnglish
Published 01.01.2001
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Summary:In this paper, the calculation of the variance in the number of counts of the cumulative histogram used for the characterization of analog-to-digital converters (ADCs) with the histogram method is presented. All cases of frequency error, number of periods of the stimulus signal, and number of samples are considered, making this approach more general than the traditional one, used by the IEEE 1057-1994 standard, where only a limited frequency-error range is considered, leading to a value of 0.2 for the variance. Furthermore, this value is an average over all cumulative histogram bins, instead of a worst-case value, leading to an underestimation of the variance for some of those bins. The exact knowledge of this variance allows for a more efficient test of ADCs and a more precise determination of the uncertainty of the test result. This calculation was achieved by determining the dependence of the number of counts on the sample phases, on the transition voltage between codes, and on the stimulus signal phase
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ISSN:0018-9456
DOI:10.1109/19.918166