Research on Denoising of Deformation Monitoring Data by Improved Wavelet Threshold Function
Abstract Based on the traditional threshold function in wavelet analysis, combined with the wavelet threshold function proposed by other scholars, this paper further studies and analyzes the practical application. We propose a new method: denoising the deformation monitoring data with a new wavelet threshold de-noising function. Theoretical analysis and examples show that the new wavelet threshold de-noising function can effectively remove noise and has good denoising effect.
Key words :
wavelet threshold function
wavelet de-noising
deformation monitoring
quality assessment
Cite this article:
GAN Ruo,CHEN Tianwei,ZHENG Xudong et al. Research on Denoising of Deformation Monitoring Data by Improved Wavelet Threshold Function[J]. jgg, 2020, 40(1): 17-22.
GAN Ruo,CHEN Tianwei,ZHENG Xudong et al. Research on Denoising of Deformation Monitoring Data by Improved Wavelet Threshold Function[J]. jgg, 2020, 40(1): 17-22.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2020/V40/I1/17
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