Improved estimate of parametric models for analogue to digital converters by using weighted integral nonlinearity data
2010 (English)In: 17th Symposium IMEKO TC4 - Measurement of Electrical Quantities, 15th International Workshop on ADC Modelling and Testing, and 3rd Symposium IMEKO TC19 - Environmental Measurements, 2010, 597-600 p.Conference paper (Refereed)
Error modelling has played a major role in generating post-corrections of analogue to digital converters (ADC). Benefits by using parametric models for post-correction are that they requires less memory and that they are easier to identify for arbitrary signals. However, the parameters are estimated in two steps; firstly, the integral nonlinearity (INL) is estimated and secondly, the model parameters. In this paper we propose a method to improve the performance in the second step, by utilizing information about the statistical properties of the first step.
Place, publisher, year, edition, pages
2010. 597-600 p.
Analogue to digital converters, Arbitrary signals, Integral nonlinearity, Model parameters, Parametric models, Statistical properties
IdentifiersURN: urn:nbn:se:kth:diva-82533ScopusID: 2-s2.0-84872568641ISBN: 978-161782338-1OAI: oai:DiVA.org:kth-82533DiVA: diva2:498331
17th Symposium IMEKO TC4 - Measurement of Electrical Quantities, 15th International Workshop on ADC Modelling and Testing, and 3rd Symposium IMEKO TC19 - Environmental Measurements; Kosice; Slovakia; 8 September 2010 through 10 September 2010
QC 201204192012-02-122012-02-122014-08-14Bibliographically approved