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非线性变换的英文

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"非线性变换"怎么读用"非线性变换"造句

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  • nonlinear transformation

例句与用法

  • Analysis of nonlinear transformation in frequency offset estimation for qam signals
    载波频偏估计的非线性变换分析
  • Kernel , which is proposed and developed in the study of svms , is a new way of constructing nonlinear map
    核函数方法正是在支持向量机的研究中提出并逐步得到发展的一种构造非线性变换的方法。
  • Through the zero memory nonlinearity ( zmnl ) method , generates of the correlated log normal , weibull - distributed clutter vectors
    采用基于零记忆非线性变换( zmnl )方法对lognormal分布和weibull分布杂波进行模拟。
  • In order to expand the search space and decrease the crosscorrelation among the sub - sources , non - linear transform is made for the cost function
    为了扩大搜索空间,降低各信源之间的互相关性,将代价函数进行了非线性变换
  • 2 rayleigy and weibull distribution ground clutter for airborne phased array radar ( apar ) general pulse signal was simulate with method of zero memory nonlinear transform
    二、利用零记忆非线性变换法实现机载相控阵雷达常规脉冲情况下的瑞利分布、韦伯尔分布的地面杂波模拟。
  • By mapping input data into a high dimensional characteristic space in which an optimal separating hyperplane is built , svm presents a lot of advantages for resolving the small samples , nonlinear and high dimensional pattern recognition , as well as other machine - learning problems such as function fitting
    Svm的基本思想是通过非线性变换将输入空间变换到一个高维空间,然后在这个新的空间中求取最优分类超平面。它在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势,并能够推广应用到函数拟合等其他机器学习问题中。
  • In chapter 2 , some statistics models of radar clutters are investigated under the high resolution radar , and some relation between the input and output correlation coefficient of zeros memory nonlinearity ( zmnl ) are analyzed , then the fast numerical method ( called error controlled method ) which utilize calculating input and output correlation coefficient of zmnl is proposed
    第二章以高分辨雷达杂波仿真为研究对象,以零记忆非线性变换( zmnl )为研究手段,推演了几种典型杂波在zmnl变换前后输入输出间非线性变换关系,提出了求解输入输出非线性关系式的快速数值求解方法( “误差控制”法) 。
  • ( 4 ) it does not like the traditional method to suppose a special designated model concerns between well logging and seismic data . it gains a statistics relation from a series of data training and analysis , which _ is linear relation gained from multivariate regression or nonlinear relation gained from neural net training . ( 5 ) its most important characteristic is using the thought " alternation check " to evaluate the reliability of prediction , and can be used in the optimization of seismic attribute series
    这就允许我们用到迭前和迭后地震数据经过非线性变换的信息: ( 4 )它不像传统做法那样在测井和地震之间假设一种特定的模拟关系,而是在对井点处一系列数据训练和分析中获得的一个统计关系,这个关系是通过多元回归获得的线性关系,或是通过神经网络训练获得的非线性关系: ( 5 )它最重要的特点是利用“交互校验”的概念来评估预测的可靠型,并能够用于地震属性系列的优化。
  • In this proposed algorithm , the phase rotation can be compensated using higher order statistics , nonlinear transform of equalizer outputs , and decision feedback algorithm , the faster convergent speed can be obtained by introducing sign algorithm , and the mse can be reduced via employing decision feedback equalization algorithm
    该算法充分利用高阶统计量所包含的相位信息、均衡器输出信息的非线性变换及判决反馈算法来补偿相位旋转;利用符号算法可以减少计算量的特点来加快收敛速度;利用判决反馈滤波器的性能来减小均衡器输出的均方误差。
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