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Application of Wavelet Transform in MCG-signal Denoising

Author

Listed:
  • Yucai Dong
  • Hongtao Shi
  • Junzhi Luo
  • Gehua Fan
  • Caiping Zhang

Abstract

In this paper, the principle of denoising with wavelet transform are discussed. The application of wavelet threshold denoising method in MCG-signal processing problem is introduced. Program is written by MATLAB to realize wavelet threshold denoising method. The results show that the wavelet threshold denoising method in the MCG-signal denoising can not only restrain the noise effectively, but also reserve the fault character information in the original signal. The signals by this method are better improvements than traditional method.

Suggested Citation

  • Yucai Dong & Hongtao Shi & Junzhi Luo & Gehua Fan & Caiping Zhang, 2010. "Application of Wavelet Transform in MCG-signal Denoising," Modern Applied Science, Canadian Center of Science and Education, vol. 4(6), pages 1-20, June.
    • Handle: RePEc:ibn:masjnl:v:4:y:2010:i:6:p:20
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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