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Fast compressed sensing spectral measurement with adaptive gradient multiscale resolution |
Ruo-Ming Lan(蓝若明)1,†, Xue-Feng Liu(刘雪峰)2,‡, Tian-Ping Li(李天平)1, and Cheng-Jie Bai(白成杰)1 |
1 School of Physics and Electronics, Shandong Normal University, Jinan 250014, China; 2 Key Laboratory of Electronics and Information Technology for Space Systems, National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China |
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Abstract We propose a fast, adaptive multiscale resolution spectral measurement method based on compressed sensing. The method can apply variable measurement resolution over the entire spectral range to reduce the measurement time by over 75% compared to a global high-resolution measurement. Mimicking the characteristics of the human retina system, the resolution distribution follows the principle of gradually decreasing. The system allows the spectral peaks of interest to be captured dynamically or to be specified a priori by a user. The system was tested by measuring single and dual spectral peaks, and the results of spectral peaks are consistent with those of global high-resolution measurements.
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Received: 05 September 2023
Revised: 26 October 2023
Accepted manuscript online: 06 November 2023
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PACS:
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07.60.Rd
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(Visible and ultraviolet spectrometers)
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42.30.-d
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(Imaging and optical processing)
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42.30.Wb
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(Image reconstruction; tomography)
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Fund: Project supported by the Natural Science Foundation of Shandong Province, China (Grant Nos. ZR2020MF119 and ZR2020MA082), the National Natural Science Foundation of China (Grant No. 62002208), and the National Key Research and Development Program of China (Grant No. 2018YFB0504302). |
Corresponding Authors:
Ruo-Ming Lan, Xue-Feng Liu
E-mail: lanrm0616@163.com;liuxuefeng@nssc.ac.cn
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Cite this article:
Ruo-Ming Lan(蓝若明), Xue-Feng Liu(刘雪峰), Tian-Ping Li(李天平), and Cheng-Jie Bai(白成杰) Fast compressed sensing spectral measurement with adaptive gradient multiscale resolution 2024 Chin. Phys. B 33 020702
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