Infrared Technology, Volume. 46, Issue 12, 1453(2024)

Infrared Spectral Noise Reduction Algorithm Based on Wavelet Transform Optimized EEMD Combined with SG

Gang LIU, Yuquan GONG, He ZHANG, and Haibo LIANG*
Author Affiliations
  • School of Mechanical Engineering, Southwest Petroleum University, Chengdu 610500, China
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    References(3)

    [5] [5] HUANG N E, ZHENG S, LONG S R, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 1998: 903-995.

    [6] [6] WU Z H, HUANG N E. Ensemble empirical mode decomposition: a noise assisted data analysis method[J]. Advances in Adaptive Data Analysis, 2009, 1(1): 1-41.

    [13] [13] ZHOU Y, TAO T, MEI X, et al. Feed-axis gearbox condition monitoring using built-in position sensors and EEMD method[J]. Robotics and Computer-Integrated Manufacturing, 2011, 27(4): 785-793

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    LIU Gang, GONG Yuquan, ZHANG He, LIANG Haibo. Infrared Spectral Noise Reduction Algorithm Based on Wavelet Transform Optimized EEMD Combined with SG[J]. Infrared Technology, 2024, 46(12): 1453

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    Paper Information

    Category:

    Received: May. 12, 2023

    Accepted: Jan. 14, 2025

    Published Online: Jan. 14, 2025

    The Author Email: Haibo LIANG (secondbo@swpu.edu.cn)

    DOI:

    CSTR:32186.14.

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