均值加权消除相干干扰

Removing coherent disturbance by mean value weighting.

在目前还没有办法彻底进行信噪分离的背景下 ,提出了一种在去噪的同时把对有效波的损害减少到最小的处理方法。该方法首先采用小波分频的办法 ,使没有相干干扰的频段信号在去噪的过程中不受损失。在有相干干扰区采用分时窗的办法 ,使去噪处理仅在有干扰的区域内进行。相干干扰的拾取是利用均值加权法实现的 ,该方法识别噪音准确 ,因而具有较强的实用性。实际资料处理表明 ,这是一种既消除相干干扰又使有效波损失最小 ,且负效应极小的去噪方法。

This paper presents a data processing method for nois e removal which ca n decrease the damage to the effective waves to the minimum. For signals in freq uency segments without coherent disturbance the wavelet frequency-division is a d opted to remove noises. For signals with coherent disturbance the window-divisi o n is adopted to make the noise removal processing performed only within segments with disturbance. The picking of coherent disturbance is based on the mean valu e weighting technique, which is new, precise, and practical for noise picking. R eal data processing demonstrates that the method can eliminate coherent disturba nce while fully preserving effective waves from loss and its negative effect is very small.