Title :
An Improved ADC Error Correction Scheme Based on a Bayesian Approach
Author :
De Vito, L. ; Michaeli, L. ; Rapuano, S.
Author_Institution :
Dept. of Eng., Sannio Univ., Benevento
Abstract :
The paper presents an improved method for the ADC nonlinearity correction based on a Bayesian filtering approach. In particular, the dependence of the previous method version on the statistic characterization of the input signal has been removed. The proposed improvement has been validated in simulation using behavioural models provided by an ADC producer and on actual ADCs
Keywords :
Bayes methods; analogue-digital conversion; error correction; filtering theory; ADC error correction; ADC nonlinearity correction; Bayesian filtering approach; analog-to-digital converter; Analog-digital conversion; Bayesian methods; Calibration; Dynamic range; Electronic mail; Error correction; Information filtering; Information filters; Laboratories; Statistics; ADC correction; Bayes; Non-linearity;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2005. IMTC 2005. Proceedings of the IEEE
Conference_Location :
Ottawa, Ont.
Print_ISBN :
0-7803-8879-8
DOI :
10.1109/IMTC.2005.1604091
