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.
Citation
IEEE Transactions on Instrumentation and Measurement
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, IEEE Transactions on Instrumentation and Measurement, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=1024 (Accessed May 3, 2026)
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