最优小波包变换在地震信号去噪中的应用

英文篇名：Application of the Optimum Wavelet Packet Transform in Seismic Signals De-noising
中文刊名：地震研究
英文刊名：Journal of Seismological Research
作者：张瑞红 ; 林大超 ; 乔兰
英文作者：ZHANG Rui-hong1 ; 2 ; LIN Da-chao2 ; QIAO 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)
中文关键词：地震信号 ; 小波包变换 ; 最优基 ; 去噪 ; 相关阈值
英文关键词：seismic signal ; WPT ; best basis ; denoising ; dependent threshold
出版日期：2011-07-15
机构：北京科技大学土木与环境工程学院;华北科技学院土木工程系;
年：2011
期：03
出版单位：地震研究

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。
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.

引文

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