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HHT的滤波特性及在声波测井波列信号处理中的应用(英文)
引用本文:王祝文,刘菁华,岳崇旺,李晓春,李长春.HHT的滤波特性及在声波测井波列信号处理中的应用(英文)[J].应用地球物理,2009,6(1):8-16.
作者姓名:王祝文  刘菁华  岳崇旺  李晓春  李长春
作者单位:吉林大学地球探测科学与技术学院,长春130026
基金项目:国家自然科学基金,the National Key Science Engineering Projects of the Ninth Five Year Plan 
摘    要:阵列声波信号是典型的非线性、非平稳信号,Hilbert~Huang变换(HHT)是处理非平稳信号的一种比较新的时频分析方法。通过对信号进行经验模态分解(EMD)和对瞬时频率的求解,可以获得声波信号的时一频谱。其关键技术就是进行经验模态分解,任何非平稳的信号都可以分解为有限数目并且具有一定物理意义的固有模态函数。EMD方法可以理解为以声波信号极值特征尺度为度量的时频滤波过程。滤波器充分保留了声波信号本身的非线性和非平稳特征,在声波信号的滤波和去噪中具有很大的优势。文中介绍了HHT时频滤波的实现过程,并列举了一些声波测井波列实例,说明了该方法的有效性。

关 键 词:HHT  经验模态分解  固有模态函数  时频滤波

The filtering characteristics of HHT and its application in acoustic log waveform signal processing
Zhuwen Wang,Liu Jinghua,Yue Chongwang,Li Xiaochun,Li Changchun.The filtering characteristics of HHT and its application in acoustic log waveform signal processing[J].Applied Geophysics,2009,6(1):8-16.
Authors:Zhuwen Wang  Liu Jinghua  Yue Chongwang  Li Xiaochun  Li Changchun
Institution:(1) GeoExploration College of Science and Technology, Jilin University, Changchun, 130026, China
Abstract:Array acoustic logging plays an important role in formation evaluation. Its data is a non-linear and non-stationary signal and array acoustic logging signals have time-varying spectrum characteristics. Traditional filtering methods are inadequate. We introduce a Hilbert-Huang transform (HHT) which makes full preservation of the non-linear and non-stationary characteristics and has great advantages in the acoustic signal filtering. Using the empirical mode decomposition (EMD) method, the acoustic log waveforms can be decomposed into a finite and often small number of intrinsic mode functions (IMF). The results of applying HHT to real array acoustic logging signal filtering and de-noising are presented to illustrate the efficiency and power of this new method.
Keywords:Hilbert-Huang transform  empirical mode decomposition  intrinsic mode functions  time-frequency filter
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