Personal Information

  • Doctoral Supervisor
  • Master Tutor
  • (Associate Professor)
  • Name (Pinyin):

    songlijun
  • School/Department:

    信息与控制工程学院
  • Education Level:

    Postgraduate (Postdoctoral)
  • Gender:

    Female
  • Contact Information:

    邮箱 : songlijun9071@sina.com
  • Degree:

    Doctoral degree
  • Professional Title:

    Associate Professor
  • Status:

    Employed
  • Alma Mater:

    西工业大学
  • Discipline:

    Control Science and Engineering

Other Contact Information

  • Email:

Research on signal analysis method based wavelet analysis and grey theory

  • Release time:2024-08-09
  • Hits:
  • Affiliation of Author(s):

    信息与控制工程学院
  • Journal:

    Science and Engineering Research Support soCiety
  • Key Words:

    中文关键字:小波包;灰色理论;信号处理;分解;特征矩阵,英文关键字:Wavelet packet;grey theory;signal analysis;decompo
  • Abstract:

    In allusion to the shortcomings of the existing signal analysis method for high-frequency analysis,non-stationary signal analysis and so on,wavelet analysis and grey theory are introduced into the signal analysis,a new signal analysis method based wavelet analysis and grey theory is proposed in this paper.In this method, the wavelet packet is used to nonredundantly, lossless and orthogonally decompose different components of noise signals into different frequency bands with different scales, in order to realize the signal frequency band division with total energy conservation for obtaining the energy feature of each frequency band. Then these energy frequency bands are used to construct the feature vector. And the grey theory is used to analyze the correlation degree between the equipment states and system parameters in order to quickly and accurately determine the position of source.Finally, for a typical signal simulation and analysis, the effectiveness of the signal method is tested and verified.
  • Note:

    宋丽君
  • Co-author:

    Quhongxing
  • First Author:

    songlijun
  • Indexed by:

    Journal paper
  • Volume:

    卷:Volume 8
  • Issue:

    期:No. 9
  • Page Number:

    页:239-247
  • Translation or Not:

    no
  • Date of Publication:

    2015-09-01
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