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Perfect reconstruction of uniform samples from K-th order nonuniform samples

机译:从K阶非均匀样本中完美重构均匀样本

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In this paper, we propose a new discrete-time model which relates uniform samples and K-th order nonuniform (KONU) samples. Typically, such situations may occur in practice where the sampling rates of analog-to-digital converters (ADCs) in a cluster of sensors may be different. This paper also outlines a digital signal processing approach to reconstructing uniform samples from the nonuniform samples produced by time interleaving analog-to-digital converters (TI-ADCs) with different sampling rates and time-mismatches.
机译:在本文中,我们提出了一个新的离散时间模型,该模型将均匀样本和K阶非均匀(KONU)样本相关联。通常,在实际情况中可能会发生这种情况,其中传感器群集中的模数转换器(ADC)的采样率可能不同。本文还概述了一种数字信号处理方法,用于从具有不同采样率和时间不匹配的时间交织模数转换器(TI-ADC)产生的非均匀样本中重建均匀样本。

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