非线性估计的英文

• nonlinear estimation

• "非线性"英文翻译    nonlinearity; nonlinear
• "估计"英文翻译    estimate; evaluate; take sto ...
• "非线性估计量" 英文翻译 :    nonlinear estimator
• "非线性估计程序" 英文翻译 :    nonlinear estimation routine
• "非线性估计标准误差" 英文翻译 :    nonlinear standard error of estimate
• "非线性估计的标准误差" 英文翻译 :    nonlinear standard error of estimate
• "非线性估计量的标准误差" 英文翻译 :    nonlinear standard error of estimate
• "非线性估计标准误差 非线性估计的标准误差" 英文翻译 :    nonlinearstandarderrorofestimate
• "线性估计" 英文翻译 :    linear estimate; linear estimation; linear estimator; linearestimator
• "可布线性估计" 英文翻译 :    estimating wireability
• "无偏线性估计式" 英文翻译 :    unbiased linear estimator
• "最佳线性估计器" 英文翻译 :    best linear estimator
• "近似最佳线性估计量" 英文翻译 :    nearly best linear estimator
• "非线性最玄乘估计" 英文翻译 :    nls estimate
• "弹性估计" 英文翻译 :    estimation of elasticity
• "定性估计" 英文翻译 :    qualitative considerations
• "可靠性估计" 英文翻译 :    security assessment; securityassessment
• "统计性估计" 英文翻译 :    statistical estimation
• "一致性估计" 英文翻译 :    consistency estimator; consistent estimate
• "非线性最小二乘估计" 英文翻译 :    nonlinear least squares estimation
• "非线性最小平方估计" 英文翻译 :    nonlinear least squares estimation
• "非线性最小平方估计量" 英文翻译 :    nonlinear least squares estimator
• "统计性估计值" 英文翻译 :    statistical estimated value
• "非线性" 英文翻译 :    [数学] [物理学] [电学] nonlinearity; nonlinear
• "饱和非线性" 英文翻译 :    saturation nonlinearity

• Ekf algorithm is the most classical nonlinear method , successfully applying in many passive localization problems
  Ekf算法是最经典的非线性估计算法,在无源定位中有不少成功的应用。
• As one of the most popular nonlinear estimation algorithms , ukf is being studied and applied in passive localization by more and more researchers
  Ukf是目前广受关注的一种非线性估计算法,在无源定位领域也正被越来越多的人研究和采用。
• In this case optimally weighted ls estimate is not a linear estimate of a parameter given input and observation anymore and can not be compared with linear minimum variance estimate
  在这种情况下，最优加权最小二乘估计变成关于观测和输入的非线性估计，且与线性最小方差估计不可比。
• In this paper semiparametric regression is presented to solve the problem , moreover the algorithm is given . it is an iterative process between linear estimation and nonlinear estimation . the linear estimation is ls estimation and the nonlinear estimation is a wavelet denoising process of residual
  本文提出的半参数回归方法较好的解决了上述问题，并给出了相应的算法：这是一种线性估计和非线性估计相互迭代的方法，线性估计是最小二乘法，而非线性估计是基于小波对残差去噪的方法。
• The mapping the pilot training from the lower dimension space to high dimension space , and in the high dimension space , the wave - let kernel function is adopted , according to recursion least square criteria , the lower linear inseparable problem is convert to the separable problem
  然后将根据结构风险递归二乘最小化准则回归估计支持向量机原理，把导频训练序列映射到高维空间，并在高维空间采用结构小波核函数，达到了将低维空间的非线性估计转化为高维空间的线性估计的目的。