ABSTRACT
Slope monitoring data often contain various noises, which makes the actual deformation characteristics of the slope unable to be identified. Wavelet analysis can effectively separate the real deformation signal and noise signal of the slope with different time-frequency characteristics. Different methods and decomposition layers also affect the noise reduction effect. The experimental results show that the noise reduction effect is better when the sym4 wavelet is used for three-layer decomposition.
