光电子快报(英文版), 2017, 13 (6): 432, Published Online: Sep. 13, 2018  

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

Author Affiliations
Key Lab on Measurement Technology and Instrumentation of Hebei Province, Institute of Electrical EngineeringYanshan University, Qinhuangdao 066004, China
Abstract
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.

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]. 光电子快报(英文版), 2017, 13(6): 432.

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