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An Anti-aliasing and De-noising Hybrid Algorithm for Wavelet Transform

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Intelligent Robotics and Applications (ICIRA 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8102))

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Abstract

The purpose of this research is to eliminate the noise of sEMG signal which it used to control the upper arm rehabilitation robot. In this paper, we propose an anti-aliasing and de-noising hybrid algorithm for signal processing based on wavelets theory and FFT. Experimental results showed that the hybrid algorithm is quite effective for signal anti-aliasing and de-noising.

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Author information

Authors and Affiliations

  1. State Key Lab of Digital Manufacturing Equipment and Technology, Institute of Rehabilitation and Medical Robotics, Huazhong University of Science and Technology, Wuhan, 430074, China

    Yuding Cui, Caihua Xiong & Ronglei Sun

Authors
  1. Yuding Cui
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  2. Caihua Xiong
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  3. Ronglei Sun
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, Pusan National University, South Korea

    Jangmyung Lee

  2. School of Mechanical Engineering, Pusan National University, Busan, South Korea

    Min Cheol Lee

  3. Intelligent Systems & Biomedical Robotics Group, School of Creative Technologies, University of Portsmouth, PO1 2DJ, England, UK

    Honghai Liu

  4. School of Mechanical Engineering, Biorobotics Laboratory, Korea University of Technology and Education, Gajeon-ri Byeongcheon-myeon 307, 330-708, Cheonan, Korea

    Jee-Hwan Ryu

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Cui, Y., Xiong, C., Sun, R. (2013). An Anti-aliasing and De-noising Hybrid Algorithm for Wavelet Transform. In: Lee, J., Lee, M.C., Liu, H., Ryu, JH. (eds) Intelligent Robotics and Applications. ICIRA 2013. Lecture Notes in Computer Science(), vol 8102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40852-6_49

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  • DOI: https://doi.org/10.1007/978-3-642-40852-6_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40851-9

  • Online ISBN: 978-3-642-40852-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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