Spectroscopy and Spectral Analysis, Volume. 42, Issue 1, 277(2022)

Denoising Algorithm of Spectral Signal Based on FFT SVD

Hong-qiu ZHU*, Fei CHENG1;, Hao-nan HU1;, Can ZHOU1; 2; *;, and Yong-gang LI1;
Author Affiliations
  • 1. School of Automation, Central South University, Changsha 410083, China
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    References(6)

    [1] Ko C H, Wu Y T, Yang C E et al[D]. Chemical Engineering Journal, 393, 124700(2020).

    [3] Liu H, Lu Z, Quan X et al[D]. Optics Communications, 359, 95(2016).

    [4] Hur J W, Kim D W, Park P G[D]. Applied Acoustics, 158, 107031(2020).

    [6] Cheng L Z, Dai X, Mareschal J C et al[D]. Journal of Applied Geophysics, 168, 41(2019).

    [7] Popescu P G, Tănăsescu A[D]. Journal of Computational Science, 31, 1(2019).

    [11] Guo X, Jiang H, Zheng Y et al[D]. Biomedical Signal Processing and Control, 38, 34(2017).

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    Hong-qiu ZHU, Fei CHENG, Hao-nan HU, Can ZHOU, Yong-gang LI. Denoising Algorithm of Spectral Signal Based on FFT SVD[J]. Spectroscopy and Spectral Analysis, 2022, 42(1): 277

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    Paper Information

    Category: Research Articles

    Received: Nov. 27, 2020

    Accepted: --

    Published Online: Mar. 31, 2022

    The Author Email: Hong-qiu ZHU (hqcsu@csu.edu.cn)

    DOI:10.3964/j.issn.1000-0593(2022)01-0277-05

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