非线性估计 meaning in English
nonlinear estimation
Examples
- 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。