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Improved Estimate of Parametric Models for Analogue to Digital Converters by Using Weighted Integral Nonlinearity Data
Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för elektronik, matematik och naturvetenskap, Elektronik. (Elektronik)ORCID-id: 0000-0001-5429-7223
Royal Institute of Technology, Signal Processing Lab, ACCESS Linnaeus Center.ORCID-id: 0000-0002-2718-0262
Royal Institute of Technology,Signal Processing Lab, ACCESS Linnaeus Center.
Royal Institute of Technology, Signal Processing Lab, ACCESS Linnaeus Center.
2010 (engelsk)Inngår i: 17th Symposium IMEKO TC4 - Measurement of Electrical Quantities, 15th International Workshop on ADC Modelling and Testing, and 3rd Symposium IMEKO TC19: Environmental Measurements / [ed] Linus Michaeli, Jan Saliga, 2010, s. 597-600Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

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.

sted, utgiver, år, opplag, sider
2010. s. 597-600
HSV kategori
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URN: urn:nbn:se:hig:diva-7580Scopus ID: 2-s2.0-84872568641ISBN: 978-80-553-0424-3 (tryckt)OAI: oai:DiVA.org:hig-7580DiVA, id: diva2:351256
Konferanse
17th Symposium IMEKO TC4 - Measurement of Electrical Quantities, 15th International Workshop on ADC Modelling and Testing, and 3rd Symposium IMEKO TC19 - Environmental Measurements,8-10 september, Kosice, Slovakia
Tilgjengelig fra: 2010-09-13 Laget: 2010-09-13 Sist oppdatert: 2018-03-13bibliografisk kontrollert

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Björsell, NiclasHändel, Peter

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