小波分析去噪在腰沙围垦变形监测中的应用  

The Application of Denosing in Wavelet Analysis in the Deformation Monitoring of Waist Sand Reclamation

作　　者：许杭[1] 王俊杰[1] 高俊强[1] 

机构地区：[1]南京工业大学测绘学院,江苏南京210000

出　　处：《测绘与空间地理信息》2016年第3期189-192,共4页Geomatics & Spatial Information Technology

摘　　要：由于受到许多复杂因素影响,沉降监测过程中所得到的信号数据可能会含有噪声。Matlab中小波分析功能能够对信号数据中的噪声信号进行有效的分解,最后重构处理后的信号。通过实例对比,选用合适的去噪方法和去噪函数,对信号数据进行处理,最后能够得到更适合的最优估计。Due to the impact of various complex factors,the signal data obtained during the process of subsidence monitoring may contain noise. The function of wavelet analysis in Matlab can effectively decompose the noise in signal data,and then reconstruct the processed signal. The case comparison shows that processing signal data via appropriate denoising method and denoising function can finally achieve a more appropriate optimal estimation.

关 键 词：变形监测 小波分析 MATLAB 阈值去噪 

分 类 号：P25[天文地球—测绘科学与技术] TU196[建筑科学—建筑理论]