Wavelet de-noising of slope deformation monitoring based on cubic hermit interpolation
Mo Zhu · Highway Engineering · 2011
Monitoring data in slope engineering often contain a variety of errors(noise),and shows obvious fluctuation and mutation,so that the deformation features of the slope have been submerged in noise and can not be identified.Wavelet analysis can take advantage of the time-frequency difference between the real slope deformation signal and the noise,with the help of wavelet transform multi-resolution analysis,to effectively separate different frequency components and finally de-noise and find the real characteristics of slope deformation after a combined work on threshold.Monitoring data in the project are sometimes unequally spaced which can not be directly used for wavelet de-noising.However they can be transferred to equally spaced data sequence by cubic Hermite interpolation.The results proves that the feasibility of this approach.