To determine the quantitative index for the optimal decomposition scale in wavelet de-noising of deformation series

Wavelet decomposition scale is directly related to the effect of de-noising. To de-noising of deformation sequence, the authorcombines the information criterion of the time series analysis modeling pricing and the characteristics of Gauss white noise under the wavelet transform, put forward the method thatthe Akaike information criterion was used as quantitativeindex to determine the optimal decomposition scale. The calculation results of examples show that in the Akaike information criterion calculated value to the Minimum, the decomposition scale determinedconform to the distribution of signal-to-noise, de-noising effect is better, and Akaike information criterion was used as quantitative index to determine the optimal decomposition scale is effective, itimprove the convenience of wavelet de-noising in deformation data processing.