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Code Probability Distributions of A/D Converters with Random Input Noise

Published

Author(s)

T. M. Souders

Abstract

The specific architecture of an A/D converter influences the code probability distributions that result from random input noise. In particular, the ouput codes of successive approximation A/D converters have a spiked distribution, and its variance is half that of the corresponding input noise. In addition, the distribution has a small bias. These and other related results are derived, and are qualitatively supported by measurement data on a real 16-bit A/D converter.
Proceedings Title
Proc. IEEE Instrumentation and Technology Conference (IMTC)
Volume
1
Conference Dates
May 18-20, 1998
Conference Location
St. Paul, MN

Keywords

A/D converter, architecture, bias, codeprobability, distribution, effective bits, noise, successive approximation

Citation

Souders, T. (1998), Code Probability Distributions of A/D Converters with Random Input Noise, Proc. IEEE Instrumentation and Technology Conference (IMTC), St. Paul, MN, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=5955 (Accessed October 16, 2025)

Issues

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Created May 1, 1998, Updated February 19, 2017
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