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首页> 外文期刊>Circuits and Systems I: Regular Papers, IEEE Transactions on >Combining the Standard Histogram Method and a Stimulus Identification Algorithm for A/D Converter INL Testing With a Low-Quality Sine Wave Stimulus
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Combining the Standard Histogram Method and a Stimulus Identification Algorithm for A/D Converter INL Testing With a Low-Quality Sine Wave Stimulus

机译:结合标准直方图方法和用于低质量正弦波激励的A / D转换器INL测试的激励识别算法

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摘要

This paper proposes combining the standard histogram method with a stimulus identification algorithm in order to test the integral nonlinearity (INL) of a high-resolution analog-to-digital (A/D) converter without a high-quality sine wave. The major problems in the two techniques are explained in order to appreciate the benefits of the combination. The increased INL estimation accuracy is verified with simulations of 16-b A/D converters under different conditions, and experimental results of the INL testing of a 16-b A/D converter are also quoted to support the theory. The simulations and experimental tests show that the INL of 16-b A/D converters can be measured with very simple equipment and that an accurate test stimulus is not necessary.
机译:本文提出将标准直方图方法与刺激识别算法相结合,以测试没有高质量正弦波的高分辨率模数(A / D)转换器的积分非线性(INL)。解释了两种技术中的主要问题,以便了解组合的好处。通过在不同条件下对16-b A / D转换器进行仿真,可以验证提高的INL估计精度,并且还引用了对16-b A / D转换器进行INL测试的实验结果来支持该理论。仿真和实验测试表明,可以使用非常简单的设备来测量16位A / D转换器的INL,并且不需要精确的测试激励。

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