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不同小波函数对粗差识别效果的比较
引用本文:姚丽慧,高井祥,王坚.不同小波函数对粗差识别效果的比较[J].北京测绘,2011(3):20-23,92.
作者姓名:姚丽慧  高井祥  王坚
作者单位:1. 中国矿业大学徐海学院,江苏徐州,221008
2. 中国矿业大学环境与测绘学院,江苏徐州,221116
摘    要:采用含孤立态、离散态与区域态三种类型粗差的含强噪声的动态变形信号,研究粗差识别中小波基函数的选择依据。分别从分解层数、支撑区间、正则性以及消失距四个角度,选用不同的小波基函数进行试验,结果表明:对于该含不同类型粗差的变形信号,在所考察的小波基函数范围内,对于区域态粗差几种小波的识别能力相当;同等条件下,对于孤立态粗差,...

关 键 词:动态变形  小波基函数  粗差识别

The Contrast on Different Wavelet Basis Function for Gross Error Detection
YAO Li-hui,GAO Jing-xiang,WANG Jian.The Contrast on Different Wavelet Basis Function for Gross Error Detection[J].Beijing Surveying and Mapping,2011(3):20-23,92.
Authors:YAO Li-hui  GAO Jing-xiang  WANG Jian
Institution:(College of environment and spatial informatics of CUMT,Zhaishan,Quanshan District,Xuzhou 221008,China)
Abstract:In this paper,gusts of selecting wavelet basis function in gross error detection are discussed based on the dynamic deformation signal which has isolated error,dispersed error and regional error.Decomposed layers,support block,regularity and vanishing moments are tested in a series of experiments to estimate the functioning of different wavelet basis function.Experimental results show that in the cases investigated in this paper,the abilities of detecting regional error are more or else;as for the isolated error,wavelet basis function which have smaller support block,better regularity or higher vanishing moments should be selected;as for the dispersed error,we should select the wavelet basis function which have bigger support block,better regularity or lower vanishing moments.Better effect is obtained by decomposing the dynamic monitoring signal in this paper with five layers.
Keywords:dynamic deformation  wavelet basis function  gross error detection
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