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《Science of Surveying and Mapping》 2008-S3
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Study on De-noising of GPS single epoch deformation signals based on wavelet transform

WANG Bo ①② ,ZHANG Shu-bi①,WU Jiang-wei③,LU Yun ①② (①School of Environmental Science and Spatial Informatics in China University of Mining And Technology,Xuzhou 221008,China; ②Jiangsu Key Laboratory of Resource and Environmental Information Engineering,Xuzhou 221008,China; ③Nei Menggu survey and design institute of water conservancy and Hydro-electric power,Huhehaote 010020,China)  
Based on the principle of the multi-resolution analysis of the wavelet transform,in the paper author clarified the principle of wavelet De-noising methods based on threshold noise reduction and median value filtering,and the wavelet transform of the Weighted-median value filtering method was presented on the base of median value filtering with improvement. Moreover,the Weighted-median value filtering was made comparison with the soft threshold-value de-noising,the hard threshold-value de-noising and median value filtering by simulation respectively. Experimental results show that advantages of using of the Weighted-median value filtering to high frequency of wavelet transform and then reconstructing single epoch GPS deformation monitoring signals consist in not only being able to reserve effective signals to large extent,decompose noise efficiently,keep signals smooth,but also having perfect robustness to gross errors.
【CateGory Index】: P228.4
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1 WANG Jian, SUN Xiang-zhong, GAO Jing-xiang (College of Environment and Spatial-Infonnatics, of CUMT,Xuzhou 221008);Wavelet de-noising of GPS single epoch deformation signals[J];Science of Surveying and Mapping;2004-01
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