Journal of Shanghai Jiao Tong University (Science) ›› 2018, Vol. 23 ›› Issue (6): 798-802.doi: 10.1007/s12204-018-1967-0

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Simulation Study on Multi-Rate Time-Frequency Analysis of Non-Stationary Signals

LIN Haibo (林海波), GAO Zhibin (高志彬), YI Chuijie (仪垂杰), LIN Tianran (林天然)   

  1. (1. School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, Shandong, China; 2. College of Automation and Electrical Engineering, Qingdao University, Qingdao 266424, Shandong, China)
  • 出版日期:2018-12-01 发布日期:2018-12-07
  • 通讯作者: LIN Tianran (林天然) E-mail: trlin888@163.com

Simulation Study on Multi-Rate Time-Frequency Analysis of Non-Stationary Signals

LIN Haibo (林海波), GAO Zhibin (高志彬), YI Chuijie (仪垂杰), LIN Tianran (林天然)   

  1. (1. School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao 266520, Shandong, China; 2. College of Automation and Electrical Engineering, Qingdao University, Qingdao 266424, Shandong, China)
  • Online:2018-12-01 Published:2018-12-07
  • Contact: LIN Tianran (林天然) E-mail: trlin888@163.com

摘要: A new time-frequency analysis method is proposed in this study using a multi-rate signal decomposition technique for the analysis of non-stationary signals. The method uses a multi-rate filter bank for an improved non-stationary signal decomposition treatment, and uses the Wigner-Ville distribution (WVD) analysis for signal reconstruction. The method presented in this study can effectively resolves the time and frequency resolution issue for non-stationary signal analysis and the cross-term issue typically encountered in time-frequency analysis. The feasibility and accuracy of the proposed method are evaluated and verified in a numerical simulation.

关键词: non-stationary signals , time-frequency analysis , multi-rate decomposition , Wigner-Ville distribution (WVD)

Abstract: A new time-frequency analysis method is proposed in this study using a multi-rate signal decomposition technique for the analysis of non-stationary signals. The method uses a multi-rate filter bank for an improved non-stationary signal decomposition treatment, and uses the Wigner-Ville distribution (WVD) analysis for signal reconstruction. The method presented in this study can effectively resolves the time and frequency resolution issue for non-stationary signal analysis and the cross-term issue typically encountered in time-frequency analysis. The feasibility and accuracy of the proposed method are evaluated and verified in a numerical simulation.

Key words: non-stationary signals , time-frequency analysis , multi-rate decomposition , Wigner-Ville distribution (WVD)

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