For the convenience of time -domain convolution, the vector fitting method is adopted to approach the characteristic impedance and delay function in complex frequency-domain.

为了便于时域卷积，对不同模量上的特征阻抗和延时函数在复频域采用矢量匹配法进行拟合。

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In this paper, a method for converting GPS height to normal one by means of support vector machine is proposed, and compared with the methods of neural network, polynomial fitting etc.

结合GPS测量和水准测量资料，利用支持向量机方法对GPS高程进行了转换，并与神经网络和多项式拟合等拟合的结果进行了比较，得出了一些有益的结论。

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