分光计
计算机科学
纳米光子学
成像光谱仪
领域(数学)
光学
系统工程
物理
工程类
数学
纯数学
作者
Li Gao,Yue Qu,Lianhui Wang,Zongfu Yu
出处
期刊:Nanophotonics
[De Gruyter]
日期:2022-01-24
卷期号:11 (11): 2507-2529
被引量:31
标识
DOI:10.1515/nanoph-2021-0636
摘要
Abstract A new type of spectrometer that heavily relies on computational technique to recover spectral information is introduced. They are different from conventional optical spectrometers in many important aspects. Traditional spectrometers offer high spectral resolution and wide spectral range, but they are so bulky and expensive as to be difficult to deploy broadly in the field. Emerging applications in machine sensing and imaging require low-cost miniaturized spectrometers that are specifically designed for certain applications. Computational spectrometers are well suited for these applications. They are generally low in cost and offer single-shot operation, with adequate spectral and spatial resolution. The new type of spectrometer combines recent progress in nanophotonics, advanced signal processing and machine learning. Here we review the recent progress in computational spectrometers, identify key challenges, and note new directions likely to develop in the near future.
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