Several current ultrawide band applications, such as millimeter-wave radar and communication systems [1] – [3] , require high sampling rates and therefore expensive and energy-hungry analog-to-digital converters (ADCs). In applications where cost and power constraints exist, the use of high-precision ADCs is not feasible, and the designer must resort to ADCs with coarse quantization. Consequently, the interest in the topic of signal parameter estimation from quantized data has increased significantly in recent years.

中文翻译：

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从量化数据估计信号参数的 Cramér-Rao 界 [讲义]

当前的几种超宽带应用，例如毫米波雷达和通信系统 [1] —— [3] ，需要高采样率，因此需要昂贵且耗能的模数转换器 (ADC)。在存在成本和功率限制的应用中，使用高精度 ADC 是不可行的，设计人员必须求助于粗量化的 ADC。因此，近年来对从量化数据估计信号参数这一主题的兴趣显着增加。