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The Noise Reduction Research of Traveling Wave Signal Based on the Wavelet Theory

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Future Computer, Communication, Control and Automation

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 119))

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Abstract

This paper comes up with a method of traveling wave signal noise reduction based on wavelet coefficients, after exploring the theory of wavelet noise reduction. Then it analyses a threshold value estimation method and puts forward an average estimation method by compromising algorithm between soft-threshold and hard-threshold. A large amount of emulator study indicates that the adoption of traveling wave signal noise reduction can increase the rate of signal and noise and the signal strangeness can be well maintained, providing a theoretical guide for achieving power line fault detection.

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References

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Author information

Authors and Affiliations

  1. School of Information Science & Engineering, Changzhou University, Changzhou, China

    Zhu Zhengwei

  2. Department of Electronics and Information Engineering, Huazhong University of SCI&TECH, Wuhan, China

    Zhu Chenyang

Authors
  1. Zhu Zhengwei
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  2. Zhu Chenyang
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Corresponding author

Correspondence to Zhu Zhengwei .

Editor information

Editors and Affiliations

  1. Central China Normal University, Lvting Yajing, Hongshan Qu 10-3-102, Wuhan, 430079, China, People's Republic

    Tianbiao Zhang

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© 2012 Springer-Verlag Berlin Heidelberg

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Zhengwei, Z., Chenyang, Z. (2012). The Noise Reduction Research of Traveling Wave Signal Based on the Wavelet Theory. In: Zhang, T. (eds) Future Computer, Communication, Control and Automation. Advances in Intelligent and Soft Computing, vol 119. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25538-0_76

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  • DOI: https://doi.org/10.1007/978-3-642-25538-0_76

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25537-3

  • Online ISBN: 978-3-642-25538-0

  • eBook Packages: EngineeringEngineering (R0)

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