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An improved ADC-error-correction scheme based on a Bayesian approach
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DOI：10.1109/TIM.2007.908621.png)
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摘要
En 中文
The paper presents an improved method for analog-to-digital-converter (ADC) nonlinearity correction based on a Bayesian-filtering approach. In particular, the dependence of a previous method version on the statistical characterization of the input signal has been removed. Now, the method can work on whatever stimulus signal is used without a priori knowledge about it. The proposed improvement has been validated by a numerical simulation using behavioral models provided by an ADC manufacturer and by an experiment in real ADCs.
Keyword:
analog-to-digital-converter (ADC) correction
Bayes
filtering
nonlinearity
probability density function (pdf)
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.9
论文数:
2.0W
被引数:
5.8W
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