Wavelet denoising in deformation data based on translation invariance
Hongyan Wen · Journal of Guilin University of Technology · 2006
As time series signal,the observed vertical displacement deformation data of chimneys will be carried on the wavelet transformation analysis.Based on the translation invariance fast de-noising algorithm of wavelet,the deformation monitoring data is de-noising.Indicated as the processing result of the simulated data and the measured data and based on translation invariance,the traditional threshold value is compared.The translation invariance can effectively remove the Pseudo-Gibbs phenomenon,enhance the signal to noise ratio,eliminate noise in the deformation monitoring data,distinguish useful signal which is neglected by the noise.