Benefits with Truncated Gaussian Noise in ADC Histogram Tests
2004 (English)In: 9th IMEKO Workshop on ADC Modeling and Testing, IWADC 2004, Held Together with the 13th IMEKO TC4 Symposium on Measurements for Research and Industrial Applications, IMEKO-International Measurement Federation Secretariat , 2004, 787-792 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
IMEKO-International Measurement Federation Secretariat , 2004. 787-792 p.
Gaussian distribution, Gaussian noise (electronic), Graphic methods, Industrial research, Statistical methods, Arbitrary signals, Input values, Sample length, Statistical properties, Stimulus signals, Test sequence, Transition level
Engineering and Technology Signal Processing
IdentifiersURN: urn:nbn:se:kth:diva-82919ScopusID: 2-s2.0-84910647044ISBN: 978-163439185-6OAI: oai:DiVA.org:kth-82919DiVA: diva2:498577
9th IMEKO Workshop on ADC Modeling and Testing, IWADC 2004, Held Together with the 13th IMEKO TC4 Symposium on Measurements for Research and Industrial Applications; Athens; Greece; 29 September 2004 through 1 October 2004
QC 201412172012-02-122012-02-122014-12-17Bibliographically approved