agk
- 网络酰基甘油激酶
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This paper improves the adaptive Gaussian kernel ( AGK ), and presents a novel method for estimating parameters of AGK .
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。
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The main contributions are as follows : 1 ) The Adaptive Gaussian Kernel ( AGK ), designed for cross terms reduction of multicomponent LFM signals , is improved , and an efficient method for estimating its parameters is also presented .
针对多分量LFM信号的交叉项抑制问题,对自适应高斯核函数作了改进,并给出了有效的核参数估计方法。