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根据格点滤波理论，提出一种自适应最小平方网格算法（简称LMS法）进行格点滤波参数的估算。实现此方法的关键在于连续自适应地估计偏相关系数。概述了LMS滤波器的主要优点和基本原理，并将其用于理论模型和实际地震记录。其结果表明,LMS自适应网格滤波器能非常有效地消除面波。此外LMS自适应网格滤波器还能有效地压缩信号和增加信噪比。理论研究与实际资料处理表明，这种新方法具有简单、易行、快速、效果稳定的特点。
According to lattice filter theory, an adaptive least square grid algorithm (LMS method) is proposed to estimate lattice filter parameters. The key to realize this method is to estimate the partial correlation coefficient continuously and adaptively. The main advantages and basic principles of the LMS filter are outlined and used in theoretical models and actual seismograms. The results show that the LMS adaptive mesh filter can effectively eliminate surface waves. In addition LMS adaptive grid filter can effectively compress the signal and increase the signal to noise ratio. Theoretical research and actual data processing show that this new method is simple, easy, fast and stable.