使用优化复用采样方案的亚奈奎斯特相干成像[提示和技巧]

IF 9.4 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Yeonwoo Jeong;Behnam Tayebi;Jae-Ho Han
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引用次数: 0

摘要

已经开发了几种技术来克服2D信号的传感器带宽限制[1]。尽管压缩传感是一种有吸引力的技术,可以减少在稀疏信号基础上记录信息所需的测量次数[2],[3],但在处理非解析信号时,记录奈奎斯特频率以外的信息仍然很困难。考虑到这一限制,本文将重点放在使用复数形式的相干信号的物理带宽,而不是其强度形式。由此产生的技巧将全息复用与采样方案优化相结合,以获得奈奎斯特频率范围之外的2D相干信号中的信息。理解这篇文章的先决条件是基本代数和傅立叶变换的知识。熟悉全息术也是有益的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sub-Nyquist Coherent Imaging Using an Optimizing Multiplexed Sampling Scheme [Tips & Tricks]
Several techniques have been developed to overcome the limitation of sensor bandwidth for 2D signals [1] . Though compressive sensing is an attractive technique that reduces the number of measurements required to record information on a sparse signal basis [2] , [3] , recording information beyond the Nyquist frequency remains difficult when working with nonsparse signals. Given this constraint, this article focuses on the use of the physical bandwidth of a coherent signal in the complex form instead of its intensity form. The resulting trick combines holographic multiplexing with sampling scheme optimization to obtain the information in a 2D coherent signal from beyond the Nyquist frequency range. The prerequisites for understanding this article are a knowledge of basic algebra and the Fourier transform. Familiarity with holography is also beneficial.
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来源期刊
IEEE Signal Processing Magazine
IEEE Signal Processing Magazine 工程技术-工程:电子与电气
CiteScore
27.20
自引率
0.70%
发文量
123
审稿时长
6-12 weeks
期刊介绍: EEE Signal Processing Magazine is a publication that focuses on signal processing research and applications. It publishes tutorial-style articles, columns, and forums that cover a wide range of topics related to signal processing. The magazine aims to provide the research, educational, and professional communities with the latest technical developments, issues, and events in the field. It serves as the main communication platform for the society, addressing important matters that concern all members.
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