会议专题

Application in Deformation Monitoring Signal Based on Wavelet Modular Maximum Algorithm

  In the deformation monitor data,the noise exists inevitably.According to the different dissemination characteristic of the signal and the noise in the different scale,Wavelet modular maximum de-nosing algorithm combines the method of threshold de-noising with scale trading theory by Witkin,and picks out modular maximum value of the noise,makes use of Modular Maximum value of the signal to recover the coefficients of different scale efficiently,until recovers the signal.Contrast to the traditional threshold value and translation invariance,the processing result shows de-nosing method based on wavelet modular maximum can pick out the noise in the deformation data,protect the original information,have a better effect on de-noising,enforce the signal to noise ratio,Wavelet modular maximum de-nosing algorithm is a effective method in the deformation monitor data processing.

Deformation monitoring Wavelet modular maximum value GPS positing Threshold value de-noising Translation invariance Deformation

Yong Hong He Hong Yan Wen Peng Wei Jin

Civil Engineering and Construction Management Department,Hunan University of Science and Engineering Guangxi Key Laboratory of Spatial Information and Geomatics,Guilin,Guangxi,541004 China Civil Engineering and Construction Management Department,Hunan University of Science and Engineering

国际会议

the 2012 International Conference on Manufacturing Engineering and Automation (2012年制造工程与自动化国际会议(ICMEA2012))

广州

英文

1862-1867

2012-11-16(万方平台首次上网日期,不代表论文的发表时间)