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小波分析在低应变检测数据处理中的应用
引用本文:王飞,刘东甲,卢志堂. 小波分析在低应变检测数据处理中的应用[J]. 工程地球物理学报, 2011, 8(4): 487-491. DOI: 10.3969/j.issn.1672-7940.2011.04.020
作者姓名:王飞  刘东甲  卢志堂
作者单位:合肥工业大学资源与环境工程学院,安徽合肥,230009
摘    要:在低应变检测采集的数据中,会受到各种噪声的干扰。利用小波变换的时频局部化能力,对实测信号进行降噪处理,可保留信号的突变特征,抑制噪声信号。在实际应用中证明小波分析对低应变检测信号的降噪是一种比较好的数据处理方法。

关 键 词:小波变换  低应变检测  数据去噪

Application of Wavelet Transform to Data Processing for Low Strain Test Piles
Wang Fei,Liu Dongjia,Lu Zhitang. Application of Wavelet Transform to Data Processing for Low Strain Test Piles[J]. Chinese Journal of Engineering Geophysics, 2011, 8(4): 487-491. DOI: 10.3969/j.issn.1672-7940.2011.04.020
Authors:Wang Fei  Liu Dongjia  Lu Zhitang
Affiliation:Wang Fei,Liu Dongjia,Lu Zhitang (School of Resources and Environmental Engineering,Hefei University of Technology,Hefei Anhui 230009,China)
Abstract:When we collect pile testing data,it will be subject to various noises.In this paper,the wavelet transform time-frequency localization capability is used to measure signal noise reduction.The mutation characteristics of the signal are retained,and the noise is suppressed.It is demonstrated that the practical application of wavelet analysis in data denoising for low strain dynamic testing pile is a good data processing method.
Keywords:wavelet transform  low strain  data denoising  
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