我们可以运用各种基于中值定理的方法来改善多道地震资料。特别是在作叠加处理时.本文描述并讨论了中值定理的各种用法。最直接的方法是简单中值叠加(SMS),即输出每个反射时间上输入振幅的中值.运用α平衡均值(ATM)方法,可以除去与中值很不一致的任意数量的输入振幅.中值定理的最新用法是加权中值叠加(WMS).这一方法是以一个长间隔中值滤波器为基础的.实质上,仅仅作统计的隐式加权是为了消除使用间隔滤波器时出现的边界影响,滤波前,对地震道作旋转移动就能对比如远偏移道给出最大的加权值.第四个方法是迭代中值叠加(IMS).这一方法包括在每一次滤波后重复使用一个间隔中值波渡器与一个逐次递减滤 We can use various methods based on the median theorem to improve multi-channel seismic data. Especially in the case of overlay processing.This paper describes and discusses various usages of the median theorem. The most straightforward method is the Simple Medium Value Overlay (SMS), which outputs the median of the amplitude of the input at each reflection time. Any alpha-balanced means (ATM) method can be used to remove any number of input amplitudes that are very different from the median The most recent use of the value theorem is weighted median overlay (WMS), which is based on a long-interval median filter.In essence, only statistical implicit weighting is done to eliminate the use of interval filters Boundary effect, the maximum weighted value can be given for far offsets, for example, by rotating the trace before filtering, and the fourth method is iterative median overlay (IMS) This method consists of repeating after each filter Use an interval median float with a descending filter