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Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2011> 20(4): 509-513
ZHAO Guo-jian, HAN Bao-ling, LUO Qing-sheng, WANG Xin. Technology of signal de-noising and singularity elimination based on wavelet transform[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2011, 20(4): 509-513.
Citation: ZHAO Guo-jian, HAN Bao-ling, LUO Qing-sheng, WANG Xin. Technology of signal de-noising and singularity elimination based on wavelet transform[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2011, 20(4): 509-513.
shu

Technology of signal de-noising and singularity elimination based on wavelet transform

  • 1.

    School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China

  • 2.

    School of Mechatronics, Beijing Institute of Technology, Beijing 100081, China

  • Received Date:2011-01-04
    Abstract
  • Based on wavelet transform theory, a method for signal de-noising and singularity detection and elimination is proposed, which can reduce the noises and express local singularity. Each singularity can also be detected and located through the local modulus maxima of wavelet transform. Simulation experiments are conducted with MATLAB software. The experimental results demonstrate that the method proposed in this paper is effective and feasible.
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    • References (9)
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