Multi-Wavelet Application Based on Engineering Building Deformation Monitoring

Yong Hong He; Peng Wei Jin

doi:10.4028/www.scientific.net/AMM.353-356.3420

Paper Titles

Comparison of Different Grid Structures for the Hydrocyclone Flow Field Simulation
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Application of 3D Laser Scanner in Surveying of Traditional Architecture: Case Study on Surveying Practice of Hangzhou Haichao Temple
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Analyzing the Precision of Chebyshev Polynomial Fitting GPS Satellite Ephemeris
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Program Design of Leveling-Network Conditional Adjustment Based on Transferring Matrix
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Multi-Wavelet Application Based on Engineering Building Deformation Monitoring
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The Application of the TM30 Measuring Robot in the Open Pit Slope Monitoring
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Accuracy Assessment of Nonlinear Least Squares Adjustment Parameters
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Application of Hybrid Genetic Algorithm in Control Network Adjustment
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A Regional Zenith Tropospheric Correction Model Based on the Guangxi CORS Network
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 353-356Multi-Wavelet Application Based on Engineering...

Multi-Wavelet Application Based on Engineering Building Deformation Monitoring

Abstract:

In order to separate effectively small deformation from GPS signal containing the error, Based on multiwavelet theory, the paper makes DGHM for GPS deformation monitoring signal processing, because the DGHM biorthogonal wavelet is with short support, orthogonality, symmetry ( antisymmetry ) and two approximation and other characteristics, in the same length of filtering, multi-wavelet method is more superior than traditional wavelet method, improves the signal to noise ratio, obtains higher accuracy, confirms correct and practical in the actual problem, the algorithm has opened a new way for deformation monitoring signal processing

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Periodical:

Applied Mechanics and Materials (Volumes 353-356)

Pages:

3420-3423

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.353-356.3420

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Online since:

August 2013

Authors:

Yong Hong He, Peng Wei Jin

Keywords:

Deformation Monitoring, GPS, Multi-Wavelet, Signal Processing, Wavelet Denoising

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