A New Wavelet Threshold Algorithm for Deformation Monitoring Data Denoising
Abstract In view of the insufficient threshold estimation in the traditional wavelet threshold denoising algorithm, this paper proposes a new wavelet threshold estimation algorithm and applies it to the denoising of deformation monitoring data after deriving that the noise influence amplitude in the high-frequency signal is gradually reduced by half. Theoretical analysis and engineering examples show that this method can effectively overcome the constant deviation of the soft threshold method, and further improve the accuracy and reliability of denoising.
Key words :
deformation monitoring
wavelet denoising
threshold function
threshold
Cite this article:
SHA Lei. A New Wavelet Threshold Algorithm for Deformation Monitoring Data Denoising[J]. jgg, 2023, 43(8): 847-850.
SHA Lei. A New Wavelet Threshold Algorithm for Deformation Monitoring Data Denoising[J]. jgg, 2023, 43(8): 847-850.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2023/V43/I8/847
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