利用中值相关滤波预测相干信号

在处理一些低信噪比地震资料时，叠前和叠后的去噪必不可少。当噪声的能量很强时，以线笥理论为基础的信噪分离技术已经不以满足地震资料处理的要求。本文分析了目前常用的部分去噪技术的特点后，提出利用中值相关滤波进行信噪分离。它是一个视倾角范围内求取一个中值序列，然后利用相关分析在中值序列中求一个最佳中值序列中求生个最佳中值作为预测的相干信号，从而达到信噪分离。这种方法简单易笃，适应各种强烈干扰背影资料的信噪

Coherent signal prediction using mid-value correlative filtering.

Noise elimination before and after stacking is necessary in processing low S/N seismic data. Signal-noise separation technique based on linear theory fails to meet the requirements of seismic data processing when seismic noises are powerful. Signal-noise separation using mid-value correlative filtering has been developed by analysing some existing noise elimination techniques. This method separates signal from noise by taking two essential steps: 1) to obtain a mid-value sequence in the scope of apparent dip angle, and 2) to derive the optimum mid value from the mid-value sequence by correlation analysis, the optimum mid value being taken as predictive coherent signal. The method is convenient and applicable to signal-noise separation in severe noise background; besides, it brings high fidelity of signal and so is a desirable method for processing low S/N seismic data in complicated area.