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
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.
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
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
[1] Lu Z F, Zhang J H, Liu H, Xu J L and Li J H 2019 Micromachines10 149 [2] Tilotta D C and Zhou Z 1995 Appl. Spectrosc.49 1338 [3] Wang X D, Liu H, Lu Z W, Song L W, Wang T S, Dang B S, Quan X Q and Li Y P 2014 Opt. Commun.333 80 [4] Kim C, Park D and Lee H N 2020 Sensors20 594 [5] Gamez G 2016 J. Anal. Atom. Spectrom.31 2165 [6] Zhang R, Ren W Y, Xu Z L, Wang H, Jiang J G, Wang Y Y and Luo X 2021 Optik240 166813 [7] Harwit J V and Slone J G 1979 Hadamard Transform Optics (New York: Academic Press) p. 112 [8] Donoho D L 2006 IEEE Trans. Inf. Theory52 1289 [9] Candés E J 2006 Proceedings of the International Congress of Mathematicians, August 22-30, 2006, Madrid, Spain Vol. 17 p. 1433 [10] Candés E J and Wakin M B 2008 IEEE Signal Process. Mag.25 21 [11] Yu W K, Li M F, Yao X R, Liu X F, Wu L A and Zhai G J 2014 Opt. Express22 7133 [12] Aβmann M and Bayer M 2013 Sci. Rep.3 1545 [13] Svanberg S and Metcalf H 1992 Am. J. Phys.60 285 [14] Lan R M, Liu X F, Yao X Y, Bai C J, Zhao Y F and Zhao L N 2021 Opt. Commun.479 126447 [15] Candés E J, Romberg J and Tao T 2005 Commun. Pure Appl. Math59 1207 [16] Candés E J 2008 C. R. Math.346 589 [17] Johnson J 2010 Designing with the Mind in Mind (Amsterdam: Elsevier) p. 65 [18] Weale R A 1966 Nature212 255 [19] Yin F, Meng Y Z, Yang Q, Kai L, Liu Y, Hou X, Lu Y and Chen F 2022 Opt. Mater. Express12 4435 [20] Lerner J M and Thevenon A 1992 The optics of spectroscopy (Instruments SA, Inc.) p. 1198 [21] Dudley D, Duncan W M and Slaughter J 2003 Proc. SPIE 4985 [22] Lan R M, Liu X F, Yao X Y, Yu W K, and Zhai G J 2016 Opt. Commun.366 349
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