物探与化探2011，Vol.35Issue(6)：848-850,3.
基于静态小波变换的趋势面构造
THE CONSTRUCTION METHOD OF TREND SURFACE BASED ON STATIC WAVELET TRANSFORMATION
摘要
Abstract
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 he-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.关键词
静态小波变换/拟合度/趋势面Key words
static/wavelet transformation/fitting degree/trend surface分类
天文与地球科学引用本文复制引用
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):848-850,3.基金项目
国家自然科学基金项目(40774063)以及国家863计划项目(2006AA06 A207)资助 （40774063）
