• Then based on the features of ambiguity function of a LFM signal, a new adaptive kernel is proposed.

    同时,基于LF M信号的模糊域特征,提出了一种新的自适应核函数。

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  • An improved algorithm for calculating the signal-dependent adaptive kernel time-frequency distribution is put forward based on the radially-Gaussian signal dependent representation.

    通过对基于信号特征的径向高斯核时频分布进行改进,提出了一种基于信号特征的自适应核时频分布的改进算法。

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  • In addition, an adaptive kernel relevance vector machine based on PSO is presented to deal with the problem that the regression performance of classical RVM is often influenced by kernel parameters.

    此外,针对相关向量机回归计算结果受核参数影响较大的问题,本文还提出一种基于微粒群算法的相关向量机核参数自适应优化方法。

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  • In the research of adaptive algorithm, power inversion algorithm is proposed as the kernel of anti-jamming design by comparing among several precepts.

    在自适应算法的研究方面,经过多方案比较,提出以功率倒置算法作为抗干扰设计的核心。

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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 paper proposes a new method of adaptive smooth filter, based on that to design a Gaussian kernel adaptive smooth filter so as to suppress the random noise spread on the infrared image.

    文章提出了一种新的自适应平滑滤波方法,并据此设计自适应高斯核平滑滤波来抑制红外图像中的随机噪声。

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  • 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.

    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。

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  • So they have better performance than adaptive Gaussian kernel.

    因而,相对于自适应高斯核函数而言,两者性能更优。

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  • This article mainly introduces three kernel technics. Adaptive Coding and Modulation (ACM), Input Adaptation and a new method of Forward Error Correction.

    本文重点介绍了DVB - S2系统中的三项核心技术:自适应编码调制(acm)、输入适配与新的前向纠错编码技术。

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  • This paper presents a general data depth function with adaptive shape of deep contours based on Gaussian kernel function.

    本文提出了一个具有自适应等深面的广义数据深度函数。

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  • This paper presents an adaptive algorithm of optimally determining the structures, number, positions and widths of kernel functions of the improved radial basis function (IRBF) neural networks.

    本文提出了改进的RBF神经网络结构、核函数个数、位置与宽度优化算法。

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  • Uses the adaptive discrete particle swarm algorithm to learn the similar kernel matrix.

    通过自适应的离散粒子群算法来对核相似矩阵进行学习。

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  • The Research on Adaptive Reproducing Kernel Particle Method in the Metal Forming Process;

    运用一种基于全量理论的多步有限元方法计算分析了金属体积成形过程。

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  • The Research on Adaptive Reproducing Kernel Particle Method in the Metal Forming Process;

    运用一种基于全量理论的多步有限元方法计算分析了金属体积成形过程。

    youdao

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