基于双边滤波的信号边界特征匹配与延拓

计算机科学 ›› 2015, Vol. 42 ›› Issue (Z11): 301-304.

基于双边滤波的信号边界特征匹配与延拓

曹晓初,金弟,鲁银涛,王宗仁,王启迪

中国石油杭州地质研究院杭州310023,中国石油杭州地质研究院杭州310023,中国石油杭州地质研究院杭州310023,中国石油杭州地质研究院杭州310023,中国石油杭州地质研究院杭州310023

出版日期:2018-11-14 发布日期:2018-11-14

Signal Boundary Characteristic Matching Extension Based on Bilateral Filtering

CAO Xiao-chu, JIN Di, LU Yin-tao, WANG Zong-ren and WANG Qi-di

Online:2018-11-14 Published:2018-11-14

摘要/Abstract

摘要： 经验模态分解过程中的端点效应会直接影响到信号的分解效果。针对此问题,结合邻域双边滤波的思想,提出了基于双边滤波的信号边界特征点匹配的端点延拓方法。该方法有效抑制了分解过程中端点效应的影响,提高了信号分量的精度。边界子波的延拓在遵循原始信号内部特征规律的同时,还考虑了局部数据差异性的影响,因此子波扩展具有自适应性。仿真实验和地震资料应用对比分析表明,该方法能有效解决信号分解过程中的端点效应问题。

关键词: 双边滤波,特征匹配,端点延拓,经验模态分解

Abstract: The end effects of empirical mode decomposition affect the quality of signal decomposition.A method of signal boundary characteristic matching extension based on bilateral filtering was proposed to overcome it.The influence of the end effect is effectively restrained and the accuracy of signal components is improved.Both inherent laws of source signal and difference between local data are considered to boundary wave extension.The simulation and seismic data analysis demonstrate that it is an effective method for signal decomposition.

Key words: Bilateral filtering,Characteristic matching,Endpoint extension,Empirical mode decomposition

曹晓初,金弟,鲁银涛,王宗仁,王启迪. 基于双边滤波的信号边界特征匹配与延拓[J]. 计算机科学, 2015, 42(Z11): 301-304. https://doi.org/

CAO Xiao-chu, JIN Di, LU Yin-tao, WANG Zong-ren and WANG Qi-di. Signal Boundary Characteristic Matching Extension Based on Bilateral Filtering[J]. Computer Science, 2015, 42(Z11): 301-304. https://doi.org/

参考文献

[1] Huang N E,Shen Z,Long S R.The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-stationary Time Series Analysis [J].Proc.R.Soc.Ser.A,1998,454:903-995
[2] Huang W,Shen Z,Huang N E,et al.Engineering Analysis of Biological Variables:an Example of Blood Pressure Over 1 Day [J].Proc.Natl.Acad.Sci.USA,1998,95(9):4816-4821
[3] Huang N E,Wu M L,Qu W D.Applications of Hilbert-HuangTransform to Non-stationary Financial Time Series Analysis [J].Appl.Stochastic Models Bus.Indust,2003,19(3):245-268
[4] Ditommaso R,Mucciarelli M,Parolai S,et al.Monitoring theStructural Dynamic Response of a Masonry Tower:Comparing Classical and Time-Frequency Analyses [J].Bulletin of Earthquake Engineering,2012,10(4):1221-1235
[5] Guang Y,Sun X,Zhang M,et al.Study on Ways to Restrain End Effect of Hilbert-Huang Transform [J].Journal of Computers,2014:25(3):22-31
[6] Huang N E,Wu Z.A review on Hilbert-Huang transform:Method and its applications to geophysical studies [J].Rev.Geophys,2008,46(2)
[7] Tomasi C,Manduchi R.Bilateral Filtering for Gray and Color Images[C]∥Proceedings of the 1998 IEEE International Conference on Computer Vision.Bombay,India,1998:839-846
[8] 胡爱军,安连锁,唐贵基.HILBERT-HUANG变换端点效应处理新方法[J].机械工程学报,2008,44(4):154-158

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