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YAN Yucheng, LIU Mingzhe, LIU Fuzhi. Study of Smooth Processing to Energy Spectrum by Using an Average Wavelet Threshold Method[J]. Nuclear Physics Review, 2014, 31(3): 407-410. doi: 10.11804/NuclPhysRev.31.03.407
Citation: YAN Yucheng, LIU Mingzhe, LIU Fuzhi. Study of Smooth Processing to Energy Spectrum by Using an Average Wavelet Threshold Method[J]. Nuclear Physics Review, 2014, 31(3): 407-410. doi: 10.11804/NuclPhysRev.31.03.407
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Study of Smooth Processing to Energy Spectrum by Using an Average Wavelet Threshold Method

doi: 10.11804/NuclPhysRev.31.03.407

  • (

  • State Key Laboratory of Geohazard Prevention and Geoenvironment Protection,Chengdu University of Technology, Chengdu 610059, China;

  • Received Date: 1900-01-01
  • Rev Recd Date: 1900-01-01
  • Publish Date: 2014-09-20
  • This work illustrated a wavelet threshold method by combining soft and hard threshold function of wavelet for energy spectrum under the natural radioactive condition as a kind of smooth processing. By using Matlab Program, we compared five different smooth de-noising methods including smoothing by five points, the Fourier transform method, soft and hard threshold method and average wavelet threshold method.We showed that the average wavelet threshold method can reflect the ratio of the peak and the peak-to-total ratio of characteristic peak of energy spectrum as 7.1609 and 0.394 5, respectively. Thus, this method is superior to the other four methods in de-nosing, and it is able to keep the original signal properties with the largest extent and has a high value of application.
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Study of Smooth Processing to Energy Spectrum by Using an Average Wavelet Threshold Method

doi: 10.11804/NuclPhysRev.31.03.407
  • (
  • State Key Laboratory of Geohazard Prevention and Geoenvironment Protection,Chengdu University of Technology, Chengdu 610059, China;
  • Received Date: 1900-01-01
  • Rev Recd Date: 1900-01-01
  • Publish Date: 2014-09-20

Abstract: This work illustrated a wavelet threshold method by combining soft and hard threshold function of wavelet for energy spectrum under the natural radioactive condition as a kind of smooth processing. By using Matlab Program, we compared five different smooth de-noising methods including smoothing by five points, the Fourier transform method, soft and hard threshold method and average wavelet threshold method.We showed that the average wavelet threshold method can reflect the ratio of the peak and the peak-to-total ratio of characteristic peak of energy spectrum as 7.1609 and 0.394 5, respectively. Thus, this method is superior to the other four methods in de-nosing, and it is able to keep the original signal properties with the largest extent and has a high value of application.

YAN Yucheng, LIU Mingzhe, LIU Fuzhi. Study of Smooth Processing to Energy Spectrum by Using an Average Wavelet Threshold Method[J]. Nuclear Physics Review, 2014, 31(3): 407-410. doi: 10.11804/NuclPhysRev.31.03.407
Citation: YAN Yucheng, LIU Mingzhe, LIU Fuzhi. Study of Smooth Processing to Energy Spectrum by Using an Average Wavelet Threshold Method[J]. Nuclear Physics Review, 2014, 31(3): 407-410. doi: 10.11804/NuclPhysRev.31.03.407
shu

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