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Optimal design of hybrid filterbank analog-to-digital converters using input statistics

机译:基于输入统计的混合滤波器组模数转换器的优化设计

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The hybrid filterbank architecture permits implementing accurate, high speed analog-to-digital converters. However, its design is technically involved since perfect reconstruction of the desired samples cannot be achieved in general. In this paper we propose a design method which generalizes existing approaches by dropping the bandlimited assumption on the input signal. The design minimizes the power of the reconstruction error in the samples, for a given input signal power spectrum. We discuss the use of blind techniques to estimate the analysis filterbank parameters as well as the input power spectrum, and we present simulation results to demonstrate the clear advantage of the proposed design, even under input spectrum uncertainties.
机译:混合滤波器组架构允许实现精确的高速模数转换器。但是,由于通常无法实现所需样本的完美重建,因此在技术上涉及其设计。在本文中,我们提出了一种设计方法,该方法通过删除输入信号上的带宽限制假设来概括现有方法。对于给定的输入信号功率谱,该设计将样本中重构误差的功率降至最低。我们讨论了使用盲法估计分析滤波器组参数以及输入功率谱的方法,并给出了仿真结果以证明所提出设计的明显优势,即使在输入谱不确定性下也是如此。

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