Method of high pass filtering a data set
    1.
    发明授权
    Method of high pass filtering a data set 有权
    数据集高通滤波方法

    公开(公告)号:US06790688B2

    公开(公告)日:2004-09-14

    申请号:US10252416

    申请日:2002-09-24

    IPC分类号: H01L2166

    摘要: An improved method of high pass filtering a data set includes flattening the data set and then filtering the flattened data set with an adaptive filter. The data set is flattened by fitting it to a predetermined function, and then obtaining the difference between the original data set and the fitted data set. Beneficially, the predetermined function is a polynomial. The adaptive filter includes a masking function that has a constant, non-zero value (e.g., 1) within the bounds of the original data set and value of zero outside the bounds of the original data set.

    摘要翻译: 数据集的高通滤波的改进方法包括对数据集进行平坦化,然后用自适应滤波器对平坦化数据集进行滤波。 数据集通过将其拟合到预定的功能而变平,然后获得原始数据集和拟合数据集之间的差异。 有利地,预定函数是多项式。 自适应滤波器包括掩蔽函数,其在原始数据集的边界内具有恒定的非零值(例如,1),并且在原始数据集的边界之外的零值。