eISSN:2278-5299

International Journal of Latest Research in Science and Technology

DOI:10.29111/ijlrst   ISRA Impact Factor:3.35,  Peer-reviewed, Open-access Journal

A News Letter Sign UP!
REMOVE NOISE FROM FLUORESCENCE SIGNAL OF MINERAL OIL IN WATER USING STATIONARY WAVELET TRANSFORM AND WAVELET ENTROPY

Research Paper Open Access

International Journal of Latest Research in Science and Technology Vol.4 Issue 1, pp 106-110,Year 2015

REMOVE NOISE FROM FLUORESCENCE SIGNAL OF MINERAL OIL IN WATER USING STATIONARY WAVELET TRANSFORM AND WAVELET ENTROPY

Yutian Wang,Lifang Cao, Pengfei Cheng

Correspondence should be addressed to :

Received : 11 February 2015; Accepted : 20 February 2015 ; Published : 28 February 2015

Share
Download 126
View 181
Article No. 10471
Abstract

In the fluorescence detection system, noise will affect the sensitivity of the system. The method using Stationary Wavelet Transform to de-noise fluorescence signals based on adaptive wavelet entropy is studied. The de-noising effects of dbN families are compared, and then the db7 wavelet is chosen as the optimal wavelet. The noised fluorescence signal is decomposed at 5 levels via Discrete Wavelet Transform or Stationary Wavelet Transform. The thresholded detail coefficients are reconstructed with the approximation coefficients to produce the pure fluorescence signal. It is verified that the de-noising method via Stationary Wavelet Transform has better effect than Discrete Wavelet Transform.

Key Words   
Fluorescence Signalï¼› Stationary Wavelet Transformï¼› Wavelet Entropyï¼› De-noising; Threshold
Copyright
References
  1. Lining Gao, Qian Song, Xi Huang, Jianbin Huang. A new surfactant-fluorescence probe for detecting shape transitions in self-assembled systems. Journal of Colloid and Interface Science, 2008, 323, 420–425.
  2. Richard J. Kavanagh, B. Kent Burnison, Richard A. Frank, Keith R. Solomon, Glen Van Der Kraak. Detecting oil sands process-affected waters in the Alberta oil sands region using synchronous fluorescence spectroscopy. Chemosphere, 2009, 76, 120–126.
  3. Lambert P. A literature review of portable fluorescence-based oil-in-water monitors. Journal of Hazardous Materials, 2003, 102(1), 39-55.
  4. Patra D, Mishra A K.. Study of diesel fuel contamination by excitation emission matrix spectral subtraction fluorescence. Analytica Chimica Acta, 2002a, 454(2), 209-215.
  5. Patra D, Mishra A K. Study of diesel fuel contamination by excitation emission matrix spectral subtraction fluorescence. Analytica Chimica Acta, 2002, 454(2), 209-215.
  6. Patra D.; Mishra A K. Recent developments in multi-component synchronous fluorescence scan analysis. Trends in Analytical Chemistry, 2002, 21(12). 787-798.
  7. Sinski J F, Exner J. Concentration dependence in the spectra of polycyclic aromatic hydrocarbon mixtures by front surface fluorescence analysis. Applied Spectroscopy, 2007, 61(9). 970-977.
  8. Christensen J H.; Hansen A B.; Mortensen J. Characterization and matching of oil samples using fluorescence spectroscopy and parallel factor analysis. Analytical Chemistry, 2005, 77(7), 2210-2217.
  9. Li J.; Fuller S; Cattle J. Matching fluorescence spectra of oil spills with spectra from suspect sources. Analytica Chimica Acta, 2004, 514(1), 51-56.
  10. Stedmon C A; Bro R. Characterizing dissolved organic matter fluorescence with parallel factor analysis: a tutorial. Limnology and Oceanography: Methods, 2008, 6, 572-579.
  11. Kleber M. Silva.; Washington L.A. Neves.; Benemar A. Souza.; Distance protection using a wavelet-based filtering algorithm. Electric Power Systems Research. 2010, 80, 84–90.
  12. A. Yusuff. Ultra fast fault feature extraction and diagnosis in power transmission lines, PhD thesis. Department of ELectrical Engineering, Tshwane University of Technology, 2012.
  13. J.Galiana-Merino.; D.Ruiz-Fernandez.; J.J.Martinez-Espla. Power line interference filtering on surface electromyography based on the stationary wavelet packet transform. Computer methods and programs in biomedicine ш, 2013, 338-346.
  14. He Zheng-you, Chen Xiaoqing, Luo Guoming. Wavelet entropy definition and its application for transmission line fault detection and identification. In: Proceedings of the international conference on power system technology, 2006.
  15. A. Yusuff.; A.A. Jimoh.; J.L. Munda. Stationary wavelet transform and single differentiator based decaying DC-offset filtering in post fault measurements. Measurement. 2014, 47 , 919–928.
  16. XU, Jin-gou.; WANG, Zun-ben. Fluorescence Analysis Method. Press: Science, Beijing, 2006; 18pp.
  17. El Safty.; A. El-Zonkoly. Applying wavelet entropy principle in fault classification. Original Research Article, 2009, 31, 604–607.
  18. Shuncong Zhong.; S. Olutunde Oyadiji. Crack detection in simply supported beams without baseline modal parameters by stationary wavelet transform. Mechanical Systems and Signal Processing, vol. 2007, 21, 1853–1884.
To cite this article

Yutian Wang,Lifang Cao, Pengfei Cheng , " Remove Noise From Fluorescence Signal Of Mineral Oil In Water Using Stationary Wavelet Transform And Wavelet Entropy ", International Journal of Latest Research in Science and Technology . Vol. 4, Issue 1, pp 106-110 , 2015


Responsive image

MNK Publication was founded in 2012 to upholder revolutionary ideas that would advance the research and practice of business and management. Today, we comply with to advance fresh thinking in latest scientific fields where we think we can make a real difference and growth now also including medical and social care, education,management and engineering.

Responsive image

We offers several opportunities for partnership and tie-up with individual, corporate and organizational level. We are working on the open access platform. Editors, authors, readers, librarians and conference organizer can work together. We are giving open opportunities to all. Our team is always willing to work and collaborate to promote open access publication.

Responsive image

Our Journals provide one of the strongest International open access platform for research communities. Our conference proceeding services provide conference organizers a privileged platform for publishing extended conference papers as journal publications. It is deliberated to disseminate scientific research and to establish long term International collaborations and partnerships with academic communities and conference organizers.