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A new de-noising method based on 3-band wavelet and nonparametric adaptive estimation

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Journal of Electronics (China)

Abstract

Wavelet de-noising has been well known as an important method of signal de-noising. Recently, most of the research efforts about wavelet de-noising focus on how to select the threshold, where Donoho method is applied widely. Compared with traditional 2-band wavelet, 3-band wavelet has advantages in many aspects. According to this theory, an adaptive signal de-noising method in 3-band wavelet domain based on nonparametric adaptive estimation is proposed. The experimental results show that in 3-band wavelet domain, the proposed method represents better characteristics than Donoho method in protecting detail and improving the signal-to-noise ratio of reconstruction signal.

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Authors and Affiliations

  1. School of Inform. Sci. and Eng., Shandong Univ., Jinan, 250100, China

    Li Li, Peng Yuhua, Yang Mingqiang & Xue Peijun

  2. School of Math., Shandong Univ., Jinan, 250100, China

    Xue Peijun

Authors
  1. Li Li
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  2. Peng Yuhua
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  3. Yang Mingqiang
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  4. Xue Peijun
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Corresponding author

Correspondence to Li Li.

Additional information

Sponsored by the Scientific Research Foundation for the Returned Overseas Chinese Scholars of the Ministry of Education (No.2004.176.4) and the Natural Science of Foundation Shandong Province (No.Z2004G01).

Communication author: Li Li, born in 1982, female, master. School of Information Science and Engineering, Shandong University, Jinan 250100, China.

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Li, L., Peng, Y., Yang, M. et al. A new de-noising method based on 3-band wavelet and nonparametric adaptive estimation. J. of Electron.(China) 24, 358–362 (2007). https://doi.org/10.1007/s11767-005-0216-5

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  • DOI: https://doi.org/10.1007/s11767-005-0216-5

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