首页> 外文会议>2011 International Conference on Business Management and Electronic Information >Decomposition of seismic signal based on Hilbert-Huang transform
【24h】

Decomposition of seismic signal based on Hilbert-Huang transform

机译:基于希尔伯特-黄变换的地震信号分解

获取原文

摘要

Hilbert-Huang transform (HHT) is a new time-frequency analytic method to get frequency variation with time of the non-linear and non-stationary signal. The basic implementation flow of this method includes two steps: empirical mode decomposition and Hilbert transform for instantaneous frequency. We can obtain the time-frequency spectrum of signal after these two steps. The key step of this method is empirical mode decomposition (EMD) with which any signal can be decomposed into a finite number of intrinsic mode functions (IMF). The IMF has clear physical significance. Applying Hilbert transform to those IMFs we obtain instantaneous frequency of each IMF. Displaying all the instantaneous frequencies on the same plane we get a time- frequency spectrum. This paper takes real seismic signal for example, presents a kind of empirical mode decomposition method which is fit for the decomposition of seismic signal and illustrates the superiority of Hilbert-Huang transform in analyzing seismic signal and its existing problem. Finally we will summarize the application of Hilbert-Huang transform in seismic data processing.
机译:Hilbert-Huang变换(HHT)是一种新的时频分析方法,用于获得非线性和非平稳信号随时间的频率变化。该方法的基本实现流程包括两个步骤:经验模态分解和瞬时频率的希尔伯特变换。经过这两个步骤,我们可以获得信号的时频谱。该方法的关键步骤是经验模式分解(EMD),通过该模式,任何信号都可以分解为有限数量的固有模式函数(IMF)。国际货币基金组织具有明显的物理意义。将希尔伯特变换应用于这些IMF,我们可以获得每个IMF的瞬时频率。在同一平面上显示所有瞬时频率,我们得到了一个时间频谱。本文以真实的地震信号为例,提出一种适合于地震信号分解的经验模式分解方法,说明了希尔伯特-黄变换在分析地震信号时的优越性及其存在的问题。最后,我们将总结Hilbert-Huang变换在地震数据处理中的应用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号