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REDUCTION OF SYSTEMATIC ADC ERRORS BY OVERSAMPLING

P. Arpaia, P. Daponte, L. Michaeli, J.Šaliga

Abstract

Oversampling, successive noise shaping, and final low-pass filtering is a well-known approach to enhance dynamic range of analog-to-digital converters. However, the potential of this approach can be limited by systematic errors overriding the quantization error. The paper deals with the reduction of this limitation: an interpolating algorithm, based on a moving-average FIR filter with Bayesian coefficients is proposed, and its configuration inside some correction schemes are presented. Effectiveness, drawbacks, and the corresponding evaluation results of these schemes are discussed.

Keywords
oversampling, noise shaping, systematic error, ADC correction
Download
IMEKO-WC-2000-EWADC-P602.pdf
DOI
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Event details

Event
XVI IMEKO World Congress
Place
Vienna, AUSTRIA
Time
25 September 2000 - 28 September 2000

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