)To Determine the Quantitative Index for the Optimal Decomposition Scalein Wavelet De-noising of Deformation Series

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