Optoelectronics Letters, Volume. 13, Issue 6, 432(2017)

Ensemble empirical mode decomposition based fluorescence spectral noise reduction for low concentration PAHs

Wang Shu-tao... Yang Xue-ying, Kong De-ming and Wang Yu-tian* |Show fewer author(s)
Author Affiliations
  • Key Lab on Measurement Technology and Instrumentation of Hebei Province, Institute of Electrical EngineeringYanshan University, Qinhuangdao 066004, China
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    A new noise reduction method based on ensemble empirical mode decomposition (EEMD) is proposed to improve the detection effect for fluorescence spectra. Polycyclic aromatic hydrocarbons (PAHs) pollutants, as a kind of important current environmental pollution source, are highly oncogenic. Using the fluorescence spectroscopy method, the PAHs pollutants can be detected. However, instrument will produce noise in the experiment. Weak fluorescent signals can be affected by noise, so we propose a way to denoise and improve the detection effect. Firstly, we use fluorescence spectrometer to detect PAHs to obtain fluorescence spectra. Subsequently, noises are reduced by EEMD algorithm. Finally, the experiment results show the proposed method is feasible.

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    Shu-tao Wang, Xue-ying Yang, De-ming Kong, Yu-tian Wang. Ensemble empirical mode decomposition based fluorescence spectral noise reduction for low concentration PAHs[J]. Optoelectronics Letters, 2017, 13(6): 432

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    Paper Information

    Received: Jun. 23, 2017

    Accepted: Jul. 26, 2017

    Published Online: Sep. 13, 2018

    The Author Email: Wang Yu-tian (demingkong@ysu.edu.cn)

    DOI:10.1007/s11801-017-7140-4

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