支持向量机的参数选择对模型的性能影响很大，目前支持向量机的参数选择尚缺乏公认有效的结构化方法，参数选取依靠交叉验证得到。

Model parameters influence the performance of SVM evidently, but structuring method for parameters selecting is lacking and parameters are generally determined by crossing test.

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自适应高斯基表示是一种参数化最优联合时频分析工具，它能够有效地去除交叉项干扰，滤除有色噪声。

The adaptive Gaussian representation(AGR), which has been used to extract partial discharge (PD) signals from colored noises(CN), is proposed in this paper .

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