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

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 fl...

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Bibliographic Details
Published inOptoelectronics letters Vol. 13; no. 6; pp. 432 - 435
Main Author 王书涛;杨雪莹;孔德明;王玉田
Format Journal Article
LanguageEnglish
Published Tianjin Tianjin University of Technology 01.11.2017
Springer Nature B.V
Subjects
Fluorescence
Lasers
Noise reduction
Optical Devices
Optics
Photonics
Physics
Physics and Astronomy
Pollutants
Polycyclic aromatic hydrocarbons
Spectra
Spectrum analysis
White noise
A
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Summary: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.
Bibliography: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.
12-1370/TN
Ensemble,hydrocarbons,spectrometer,empirical,instrument,aromatic,ensemble,deviation,decompose,feasible
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1673-1905
1993-5013
DOI:10.1007/s11801-017-7140-4