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International Journal of Latest Research in Science and Technology

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

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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

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

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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

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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

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