摘要
基于小波阈值法具有非常明显的渐进近似最优性质,可以在均方差意义下取得最优的去噪效果,利用小波阈值法去噪的技术,对一组建筑物变形监测数据进行去噪处理。实验结果表明,小波阈值去噪合理有效,能够敏感识别观测噪声和有用信息,不需要待检测信号的先验知识,特别适合于建筑物变形监测数据处理。
Based on wavelet threshold denoising with a very obvious nature of optimal progressive approximation,at the same time it can obtain the optimal effect of denoising under mean square sense,a new method by using wavelet thresholding method to eliminate the noise in observed data is introduced and a calculation example is also given.The results show that denoise using wavelet thresholding method is efficient and reliable and is particularly suitable for processing monitoring data of building deformation due to its sensitivity to the noise of data and the ability to identify useful information.At the same time it does not require prior knowledge of the signal to be detected.
出处
《测绘工程》
CSCD
2011年第1期44-46,共3页
Engineering of Surveying and Mapping
关键词
变形监测
小波分析
阈值去噪
软硬阈值折衷法
deformation donitoring
wavelet analysis
threshold denoising
compromise between hard and soft threshold method
