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前言近年来,在重磁数据的处理中滤波方法得到了广泛的应用;但在电法勘探和化探数据的处理中则用得不多.本文介绍一种在背景干扰情况下,从物探或化探数据分离信号的Interdata Extended FORTRAN IV滤波程序. 该方法应用Agterberg(1974)推导的最佳双侧指数光滑模型滤波器.这个模型考虑到一阶马尔柯夫型模式:C.exp(-A|K|)对数据的自相关函数.使用这个模型的条件是必须保证用一阶马尔柯夫型模式充分描述数据的自相关函数,所以,正确的估计常数A和C颇为重要.为了提高其滤波
Preface In recent years, the filtering method has been widely used in the processing of gravity and magnetic data, but it has not been used much in the processing of electrical prospecting and geochemical data.This paper introduces a new method of filtering from geophysical or Interdata Extended FORTRAN IV filter for the separation of signals from geochemical data. This method uses the best bilateral exponential smoothing model filter derived by Agterberg (1974). This model takes into account the first-order Markovian mode: C.exp (-A | K |) Autocorrelation function for data The condition for using this model is that it is important to ensure that the autocorrelation function of the data is adequately described by a first-order Markov model, so that the correct estimation constants A and C are important. Its filtering