因而，相对于自适应高斯核函数而言，两者性能更优。
So they have better performance than adaptive Gaussian kernel.
首先分析了自适应高斯核函数的局限性，并作了改进，同时给出了其参数估计方法。
This paper improves the adaptive Gaussian kernel (AGK), and presents a novel method for estimating parameters of AGK.
文中以模糊函数理论为基础，分析了时频分析产生交叉项的原因，给出了以径向高斯函数为核函数的自适应时频分析优化算法。
This paper based on ambiguity function theory analyzes the cause of cross-components and gives the optimization algorithm of adaptive TFD with radially-gaussian kernel.
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