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.

中文翻译：

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使用优化复用采样方案的亚奈奎斯特相干成像 [提示与技巧]

已经开发了多种技术来克服 2D 信号传感器带宽的限制[1] 。尽管压缩传感是一项颇具吸引力的技术，它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] ，在处理非稀疏信号时，记录超出奈奎斯特频率的信息仍然很困难。考虑到这一限制，本文重点讨论以复数形式而不是其强度形式使用相干信号的物理带宽。由此产生的技巧将全息复用与采样方案优化相结合，以获取超出奈奎斯特频率范围的 2D 相干信号中的信息。理解本文的先决条件是了解基本代数和傅里叶变换。熟悉全息术也是有益的。