BENEFITS WITH TRUNCATED GAUSSIAN NOISE IN ADC HISTOGRAM TESTS

Niclas Björsell, Peter Händel
Abstract:
One method to characterize ADCs is to use a histogram, where Gaussian noise may be used as stimulus signal. However, a Gaussian noise signal that excites all transition levels also generates input values outside working range of the ADC. Modern signal generators can generate arbitrary signals. Hence, excluding undesired values outside the ADC full scale can minimize test sequences. Truncating the signal to the working range gives further advantages, which are explored in this paper. The statistical properties is theoretically evaluated and compared. It is shown that accuracy increases for a fixed sample length and that variation over transition levels decrease.
Download:
IMEKO-IWADC-2004-001.pdf
DOI:
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Event details
IMEKO TC:
TC4
Event name:
IWADC 2004
Title:

IXth International Workshop on ADC Modeling and Testing, IWADC (together with XIII IMEKO TC4 International Symposium on Measurements for Research and Industrial Applications) (IWADC)

Place:
Athens, GREECE
Time:
29 September 2004 - 01 October 2004