| 基于建筑物沉降数据的小波去噪与预测分析 |
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| 引用本文： | 吴欢,陈刚.基于建筑物沉降数据的小波去噪与预测分析[J].城市勘测,2012(3):155-158,164. |
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| 作者姓名： | 吴欢 陈刚 |
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| 作者单位： | 江西理工大学建筑与测绘工程学院;郑州测绘学校 |
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| 摘 要： | 小波变换作为一种新的信号处理工具,其应用领域越来越广泛。基于小波分析理论,通过对监测数据的小波去噪分析与预测,结果表明,小波变换去噪合理有效,能够识别出观测噪声的有用信息,可以取得良好的去噪效果,尤其适用于建筑物变形监测的数据处理,能够提高建筑物沉降数据的预测精度。
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| 关 键 词： | 变形监测 小波变换 去噪 预测 |
Wavelet Denoising Analysis and Predict Based on Building Subsidence Data |
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| Wu Huan,Chen Gang.Wavelet Denoising Analysis and Predict Based on Building Subsidence Data[J].Urban Geotechnical Investigation & Surveying,2012(3):155-158,164. |
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| Authors: | Wu Huan Chen Gang |
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| Affiliation: | 1.Jiangxi University of Science and Technology School of Architecture and Surveying & Mapping Engineering,Ganzhou 341000,China;2.Surveying and Mapping School of Zhengzhou,Zhengzhou 450015,China) |
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| Abstract: | Wavelet transform,as a new signal processing tool,has more and more widely application field.Based on the theory of wavelet analysis,through de-noising and analyzing to wavelet of monitoring data,the result shows that the wavelet transform denoising reasonable and effective,and be able to identify the useful information of observation noise,and it can achieve good denoising result,especially for the building deformation monitoring data processing,and it can improve the building subsidence prediction accuracy of data. |
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| Keywords: | deformation monitoring wavelet transforms denoising prediction |
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