|本期目录/Table of Contents|

[1]张瑞红,林大超,乔 兰.最优小波包变换在地震信号去噪中的应用*[J].地震研究,2011,34(03):0.
 ZHANG Rui-hong,LIN Da-chao,QIAO Lan.Application of the Optimum Wavelet Packet Transform in Seismic Signals De-noising[J].Journal of Seismological Research,2011,34(03):0.
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最优小波包变换在地震信号去噪中的应用*(PDF/HTML)

《地震研究》[ISSN:1000-0666/CN:53-1062/P]

卷:
34
期数:
2011年03期
页码:
0
栏目:
出版日期:
2011-09-28

文章信息/Info

Title:
Application of the Optimum Wavelet Packet Transform in Seismic Signals De-noising
作者:
张瑞红12林大超2乔 兰1
(1.北京科技大学 土木与环境工程学院,北京 100083; 2.华北科技学院 土木工程系,北京 101601)
Author(s):
ZHANG Rui-hong12 LIN Da-chao2QIAO Lan1
(1.Civil and Environmental Engineering School, University of Science and Technology Beijing, Beijing 100083, China)(2. Department of Civil Engineering, North China Institute of Science and Technology, Beijing 101601, China)
关键词:
地震信号 小波包变换 最优基 去噪 相关阈值
Keywords:
seismic signal WPT best basis denoising dependent threshold
分类号:
P315.3
DOI:
-
摘要:
应用最优小波包变换,采用取决于节点噪声时频特征的相关阈值,对模拟地震波到达的加噪合成信号、SDAES 数字声发射仪采集的微震实验信号、NIED观测台站记录的日本2007年能登半岛地震信号进行去噪,并和基于小波变换的其他方法进行了去噪效果比较。结果表明,该方法获得的信号信噪比(SNR)高、失真低,体现出了总体优越性。
Abstract:
We apply the node-dependent threshold relative to the characteristics of the time-frequency of the noise to the optimum Wavelet Packet Transform(WPT)method to denoise a synthetic noisy signal of the arrival of the simulative seismic wave,an experimental micro-seismic signal collected by a digital acoustic emission instrument, SDAES, and a seismic signal of 2007 Noto Hanto Earthquake in Japan recorded at NIED observatory. We find that the signal denoised by the optimum WPT method has a higher signal-to-noise ratio(SNR)and a lower distortion than those by other methods based on wavelet transform(WT)methods, and the WPT method shows the overall superiority.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2010-09-01
基金项目:国家科技支撑计划课题(2007BAS18B01).

更新日期/Last Update: 1900-01-01