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一種新的非平穩(wěn)信號分析方法－局域波分析

張海勇

張海勇. 一種新的非平穩(wěn)信號分析方法－局域波分析[J]. 電子與信息學報, 2003, 25(10): 1327-1333.
引用本文: 張海勇. 一種新的非平穩(wěn)信號分析方法－局域波分析[J]. 電子與信息學報, 2003, 25(10): 1327-1333.
Zhang Haiyong . A new method for analyzing nonstationary signal-local wave analysis[J]. Journal of Electronics & Information Technology, 2003, 25(10): 1327-1333.
Citation: Zhang Haiyong . A new method for analyzing nonstationary signal-local wave analysis[J]. Journal of Electronics & Information Technology, 2003, 25(10): 1327-1333.

一種新的非平穩(wěn)信號分析方法－局域波分析

A new method for analyzing nonstationary signal-local wave analysis

  • 摘要: 該文介紹一種新的非平穩(wěn)信號分析方法一局域波分析。該方法源于瞬時頻率的概念,它能把動態(tài)信號的局部特征正確地在時頻域內(nèi)予以描述。局域波分解的基不是固定的,而是隨動態(tài)信號波形的變化而變化,具有自調(diào)節(jié)自適應的特征。與傳統(tǒng)的時頻分析方法相比,局域波分析有很多優(yōu)點,它是分析非平穩(wěn)信號的一般方法。該文討論了局域波分析的應用,指出了該方法需進一步研究的有關問題。
    Abstract: A new method for analyzing nonstationary signal designated as local wave analysis is introduced. It stems from the concept of instantaneous frequency, and it can describe accu-rately the local properties of dynamic data in the time-frequency plane. The basis of local wave decomposition is not fixed but changeable with the changing wave shape of the dynamic data. The decomposition is adaptive, and therefore highly efficient. Compared with the available time-frequency analysis methods, this method has many advantages. It is commonly used for analyzing nonstationary signal. The application of this method is discussed, and the related problems in this field that need further study are pointed out, too.
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  • N.E. Huang, Z. Shen, S. R. Long, et al., The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis, Proc. Roy. Soc., London. A,1998, 454, 903-995.[2]馬孝江,余泊,張志新,等,一種新的時頻分析方法-局域波法,振動工程學報,2000,13(增刊),24-29.[3]B. Boashash, Estimating and interpreting the instantaneous frequency of a signal, Part Ⅰ: Fundamnentals, Proc. IEEE, 1992, 80(4), 520-538.[4]L. Cohen, Time-Frequency Analysis, Englewood Cliffs, NJ, Prentice-Hall, 1995, Chapter 1.[5]W.K. Melville, Wave modulation and breakdown, J. Fluid Mech., 1983, 128(3), 489-506.[6]張海勇,基于局域波法的非平穩(wěn)隨機信號分析中若干問題的研究,[博士論文],大連,大連理工大學,2001.[7]Yu Bo, Ma Xiaojiang, A new method for the analysis of non-stationary nonlinear vibration signal and its use in machine fault diagnosis, Proc. of ICVE, Dalian, 1998, 668-671.[8]張海勇,馬孝江,蓋強,一種新的時變參數(shù)AR模型分析方法,大連理工大學學報,2002,42(2),238-241.[9]Zhang Haiyong, Ma Xiaojiang, GaiQiang, Wigner-Ville distribution based on intrinsic mode functions, Proc. of ICR, Beijing, 2001, 1015-1017.[10]張海勇,方差平穩(wěn)隨機信號的一種處理方法,電子與信息學報,2002,24(12),1879-1884.[11]X. Zhu, Z. Shen, S. D. Eckermann, et al., Gravity wave characteristics in the middle atmosphere derived from the empirical mode decomposition method, J. Geophys. Res., 1997, 102(D14),16545-16561.[12]N.E. Huang, Z. Shen, S. R. Long, A new view of nonlinear water waves: the Hilbert spectrum,Annu. Rev. Fluid Mech., 1999, 31, 417-457.[13]Zhang Haiyong, Ma Xiaojiang, Gai Qiang, The marginal spectrum of Hilbert spectrum and its applications in machinery faults diagnosis, Proc. of APVC, Hangzhou, 2001, 901-903.
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  • 收稿日期:  2002-09-23
  • 修回日期:  2002-12-23
  • 刊出日期:  2003-10-19

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