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Testing and optimizing ADC performance: a probabilistic approach

机译:测试和优化ADC性能:一种概率方法

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摘要

A novel approach to the topic of analog-to-digital converter (ADC)characterization is proposed. The key idea is to describe the behaviourof the device via a suitable conditional probability function, estimatedthrough a modified version of the popular histogram test. Anytraditional figure of merit for ADCs can be accurately evaluated fromthe proposed probabilistic characterization. Besides, this allows one tooptimize the ADC overall performance, determining the best allocation ofthe output reconstruction levels. The parameters of the modifiedhistogram test are determined as a function of the desired accuracy.Finally, computer simulations illustrate the performance of the method
机译:一种新颖的模数转换器(ADC)主题 提出了表征。关键思想是描述行为 通过合适的条件概率函数估计设备 通过流行的直方图测试的修改版本。任何 ADC的传统品质因数可以从 建议的概率表征。此外,这还可以 优化ADC的整体性能,确定最佳配置 输出重建水平。修改后的参数 直方图测试确定为所需精度的函数。 最后,计算机仿真说明了该方法的性能

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