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Wavelet Filter for Signals De-noising in ITER PF Converter I&C System

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Abstract

The wavelet transform has been proved to be an efficient tool for de-noising the signal due to its capability to stand out inhomogeneous and localized signal features. This paper presents a wavelet filter in ITER PF converter I&C system for signals de-noising and processing using the discrete wavelet transform. Daubechies 4 which is an orthogonal wavelet has been selected. The wavelet filter was realized by transforming the signal into the wavelet domain and then reconstructing the signal after eliminating the noise by compulsory de-noising method. The wavelet filter eliminates the noise effectively and accurately, proved by the simulation and experimental results.

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Acknowledgments

The debugging of the Wavelet Filter Algorithm Program was supported by Dr. Zhenyu An in Beijing University of Aeronautics and Aerospace. The authors would like to express sincerely thanks to him.

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Authors and Affiliations

  1. Institute of Plasma Physics, Chinese Academy of Science (ASIPP), P.O. Box 1126, Hefei, 230031, Anhui Province, China

    Xiaojiao Chen, Liansheng Huang, Peng Fu, Ge Gao, Shiying He & Lili Zhu

  2. Chinese University of Science and Technology, Hefei, 230022, Anhui Province, China

    Xiaojiao Chen

  3. China International Nuclear Fusion Energy Program Execution Center, Beijing, 100862, China

    Lin Dong

Authors
  1. Xiaojiao Chen
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  2. Liansheng Huang
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  3. Peng Fu
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  4. Ge Gao
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  5. Shiying He
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  6. Lili Zhu
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  7. Lin Dong
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Correspondence to Liansheng Huang.

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Chen, X., Huang, L., Fu, P. et al. Wavelet Filter for Signals De-noising in ITER PF Converter I&C System. J Fusion Energ 34, 1478–1482 (2015). https://doi.org/10.1007/s10894-015-9946-z

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  • DOI: https://doi.org/10.1007/s10894-015-9946-z

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