Analog-to-Digital Compression: A New Paradigm for Converting Signals to Bits
Analog-to-Digital Compression: A New Paradigm for Converting Signals to Bits
复制标题
模数压缩：将信号转换为比特的新范例
DOI：
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发表时间：
2018
影响因子：
14.9
通讯作者：
A. Goldsmith
中科院分区：
文献类型：
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作者：
A. Kipnis;Yonina C. Eldar;A. Goldsmith
处理、存储和传送作为模拟信号产生的信息涉及将该信息转换成比特。这种转换可以通过采样和量化的组合效果来描述，如图1所示。通过首先对模拟信号进行采样以通过一组离散时间样本来表示它，然后将这些样本量化为有限数量的比特来实现数字表示。传统上，这两个操作被分开考虑。采样器的设计是为了尽量减少由于采样的连续时间输入的特性的基础上的信息损失。量化器被设计为尽可能准确地表示样本，这受到可以在表示中使用的比特数的约束。本文的目标是通过阐明这两个操作之间的依赖关系来重新审视这个范例。特别是，我们探索的采样系统的要求受到限制的位数存储，通信，或处理的模拟信息。
Processing, storing, and communicating information that originates as an analog signal involves converting this information to bits. This conversion can be described by the combined effect of sampling and quantization, as shown in Figure 1. The digital representation is achieved by first sampling the analog signal to represent it by a set of discretetime samples and then quantizing these samples to a finite number of bits. Traditionally, these two operations are considered separately. The sampler is designed to minimize the information loss due to sampling based on characteristics of the continuoustime input. The quantizer is designed to represent the samples as accurately as possible, subject to a constraint on the number of bits that can be used in the representation. The goal of this article is to revisit this paradigm by illuminating the dependency between these two operations. In particular, we explore the requirements of the sampling system subject to the constraints on the available number of bits for storing, communicating, or processing the analog information.