THE CONSTRUCTION METHOD OF TREND SURFACE BASED ON STATIC WAVELET TRANSFORMATION
JIANG Kai-Ming1, GU Min1, GE Liang-quan1, GU Li2
1. School of Nuclear Technology and Automation, Chengdu University of Technology, Chengdu 610059,China;
2. Jinchang Vocational School of Gansu, Jinchang 737100,China
In data processing of anomaly separation, the structure method of trend surface adopts the fitting of a polynomial. It has some shortcomings, for example, the degree of fitting cannot be adjusted and can even show distortion. This paper proposed the construction method of trend surface based on the wavelet transformation. This method can extract the information effectively from the signal. The approximate coefficient obtained after the wavelet transformation characterizes signal tendency, and approximate coefficients of different criteria represent tendencies of different criteria. The coefficient and the detail coefficient of the static wavelet do not experience low sampling, so they have the same length as the original signal. The method can construct trend surfaces of different fitting degrees according to the requirement and is of distortion degree.
蒋开明, 顾民, 葛良全, 顾莉. 基于静态小波变换的趋势面构造[J]. 物探与化探, 2011, 35(6): 848-850.
JIANG Kai-Ming, GU Min, GE Liang-quan, GU Li. THE CONSTRUCTION METHOD OF TREND SURFACE BASED ON STATIC WAVELET TRANSFORMATION. Geophysical and Geochemical Exploration, 2011, 35(6): 848-850.