摘要
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.
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.
基金
supported by the National Natural Science Foundation of China(Nos.61501394 and 61471312)
the Natural Science Foundation of Hebei Province of China(No.F2017203220)
关键词
NCC
Ensemble,hydrocarbons,spectrometer,empirical,instrument,aromatic,ensemble,deviation,decompose,feasible,