期刊文献+

利用改进希尔伯特—黄变换进行地震资料时频分析 被引量:15

Seismic data time-frequency analysis by the improved Hilbert-Huang transform
下载PDF
导出
摘要 为了克服常规希尔伯特—黄变换(HHT)的缺陷,消除常规经验模态分解(EMD)产生的本征模态函数分量(IMF)中混叠的振荡模式,本文运用改进HHT,即通过引进小波包变换,首先将信号分解成一系列窄带信号,然后对这些窄带信号进行EMD获得一些IMF分量,再根据相关系数法,保留需要的IMF分量,去除虚假的IMF分量,最后进行HHT求取瞬时频率,得到改进HHT谱。改进HHT摆脱了小波变换中的海森堡测不准原理的限制,以及常规HHT模态混叠对分析的干扰。虽然改进HHT谱高频成分存在跳跃现象,但都围绕在真实频率值周围,并且较小波时频图的频带窄很多,能够反映信号的真实频率特性。数值模拟与实际地震记录处理结果证明了改进HHT的可行性。 As deficiencies of the conventional Hilbert-Huang transform(HHT),the oscillation mode mixing interference in the intrinsic mode function(IMF) components is generated by the conventional empirical mode decomposition(EMD).In order to eliminate this mode,this paper proposes an improved Hilbert-Huang transform method.Firstly,the wavelet packet transform(WPT) is used to decompose a signal into a few narrow band signals.Then EMD decompose these narrow band signals into intrinsic mode functions(IMFs).After that,the true IMFs are kept and unrelated IMFs are removed from the result according to the correlation coefficient method.Finally Hilbert transform instantaneous frequency and improved HHT amplitude are obtained.The improved HHT method gets rid of the Heisenberg uncertainty principle limits of wavelet transform,and the oscillation mode mixing interference of the conventional HHT.Although improved HHT amplitude have jump phenomenon in high frequency parts,they are all around the real frequency value and have narrow frequency band.This new method can reflect the real characteristics of frequency.The numerical and real data examples show that the improved method has feasibility in seismic data analysis.
出处 《石油地球物理勘探》 EI CSCD 北大核心 2013年第2期246-254,332+158-159,共9页 Oil Geophysical Prospecting
基金 国家重大专项课题(2011ZX05024-001-01)资助
关键词 改进HHT 小波包变换 海森堡测不准原理 EMD IMF 时频分析 improved Hilbert-Huang transform,wavelet packet transform,Heisenberg uncertainty principle,empirical mode decomposition(EMD),intrinsic mode functions(IMF),time-frequency analysis
  • 相关文献

参考文献14

  • 1刘喜武,张宁,勾永峰,李华.地震勘探信号时频分析方法对比与应用分析[J].地球物理学进展,2008,23(3):743-753. 被引量:84
  • 2刘葵,刘招君,朱建伟,张峰.时频分析在石油地球物理勘探中的应用[J].世界地质,2000,19(3):282-285. 被引量:44
  • 3Philippe S, Guy D. Seismic sequence analysis and attribute extraction using quadratic time-frequency representations. Geophysics, 2001, 66(6): 1947-1959.
  • 4汪小将,陈宝书,曹思远.HHT振幅频率恢复处理技术研究与应用[J].中国海上油气,2009,21(1):19-22. 被引量:8
  • 5Stephane Mallat. A Wavelet Tour of Signal Processing (Second Edition). Academic Press, 1999.
  • 6Huang Norden E, Samuel S P. Hilbert-Huang Trans-form and its Applications. World Scientific Publishing, 2008.
  • 7Huang Norden E,Shen Z,Steven R Let al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc R Soc Lond,1998, 454.. 903-995.
  • 8Huang Norden E,Wu M L,Qu W D et al. Applica- tions of Hilbert-Huang transform to non-stationary financial time series analysis. Appl Stochastic Models Bus Ind,2003,19:245-268.
  • 9Huang Norden E,Wu M L,Steven R L et al. A confidence limit for the empirical mode decomposition and Hilbert spectral analysis. Proc R Soc Lond, 2003, 459:2317-2345.
  • 10Peng Z K,Peter W T,Chu F L. A comparison study of improved Hilbert-Huang transform and wavelet transform: application to fault diagnosis for roiling bearing. Mechnical Systems and Signal Processing, 2005, 19:974-988.

二级参考文献31

共引文献131

同被引文献168

引证文献15

二级引证文献102

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部