Title :
Influence of frequency errors in the variance of the cumulative histogram [in ADC testing]
Author :
Alegria, Francisco André Corrêa ; Da Cruz Serra, António Manuel
Author_Institution :
Dept. of Electr. & Comput. Eng., Tech. Univ. Lisbon, Portugal
fDate :
4/1/2001 12:00:00 AM
Abstract :
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
Keywords :
analogue-digital conversion; error statistics; higher order statistics; measurement uncertainty; normal distribution; ADC characterization; contour representation; cumulative histogram variance; frequency errors influence; normal PDF; number of counts; number of samples; random process; stimulus signal number of periods; stimulus signal phase; transition voltage between codes; uncertainty; variance underestimation; Analog-digital conversion; Clocks; Frequency; Histograms; Probability density function; Sampling methods; Signal sampling; Testing; Uncertainty; Voltage;
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on