对函数模型法中的多面函数中心节点的选择做了深入讨论，提出了具有“位置自适应”匹配特点的K均值聚类法。
The function model of the multiquadric's central node to choose to do an in-depth discussion, put forward the "Adaptive location" to match the characteristics of the K-means clustering method.
文中介绍了一种基于时变自回归模型的归一化参数自适应匹配滤波算法。
In this paper, an algorithm of normalized parametric adaptive matched filter based on time-varying autoregressive model is introduced.
提出了一种基于杂波模型的极化自适应恒虚警检测算法，该算法比极化自适应匹配滤波器算法有更小的估计损失，并推导出了虚警概率表达式。
A model - based polarimetric adaptive CFAR detection algorithm is derived that has a lower estimation loss. A theoretical expression is derived for constant false alarm rate of the proposed algorithm.
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