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estimate相关的网络例句

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与 estimate 相关的网络例句 [注:此内容来源于网络,仅供参考]

In the algorithm, the conditional linear state equation is first inserted into the measurement equation, which fuses the linear state process noise and the original measurement noise, whereafter the GHF is used to estimate the nonlinear states. Then the estimated means of the nonlinear states are inserted into the linear state equation and the original measurement equation to estimate the linear states by the KF. Moreover, in order to improve the accuracy of the estimates, the estimated variances of the nonlinear states are fed back to modify the estimations of the linear states using the KF.

算法将模型中的条件线性状态方程代入观测方程,并融合线性状态的过程噪声和观测噪声,由GHF获得非线性状态的估计;再将非线性状态的估计均值代入线性状态方程与观测方程,由KF获得线性状态的估计;获得的非线性状态估计方差还用于修正由KF估计的线性状态,以提高精度。

In the Gaussian sum filter-Kalman filter algorithm, the conditional linear state equation is first inserted into the measurement equation, which fuses the linear State process noise and the original measurement noise. And the GSF is applied to the new measurement and nonlinear state equations to estimate the nonlinear states. Then the estimations of the nonlinear states are inserted into the linear state equation and the original measurement equation to estimate the linear states by the KF.

算法将模型中的条件线性状态方程代入观测方程,并融合线性状态的过程噪声和观测噪声,再与非线性状态方程联立,由高斯和滤波器(Gaussian sum filter, GSF)获得非线性状态的估计;然后将估计值代入线性状态方程与观测方程,由卡尔受滤波器(Kalman Filter, KF)获得线性状态的估计。

First, a non-parametric density estimate method based on kernel function is adopted to estimate the statistic distribution of the SAR images, and then, the SAR images is segmented with Markovian contexture by maximizing a MAP estimator, taking the former estimation as its likelihood term.

该算法首先采用基于核函数的非参数方法估计SAR图像的统计分布,然后将此统计量作为图像分割的似然函数,利用马尔可夫上下文约束进行SAR图像分割。

After trying several different ways to find the map of contour lines, we use color segmentation to construct the map of contour lines, and use the law of cosine to estimate the length of contour line we sample. We also estimate the slope of contour lines and compute how they should extend in the inpainting domain.

所以我们提出一个用来修补卡通的新inpainting演算法,我们使用颜色分群的技术来取得结构性资料或称轮廓线并且使用余弦定理来计算轮廓线取样长度,以我们取样的轮廓线推算出在修补区域内轮廓线的结构性,进而使用类似於现实生活中的贝兹曲线来重建消失的结构性资料。

The coordinate transformation and numerical integration was executed on the discretized tetrahedral elements based on which the 3-D MT vector-finite element method was implemented. A whole computation framework for 3-D vector-finite element method with unstructured mesh was given. Based on this some typical models were tested which has demonstrated that our algorithm could distinctively avoid problems caused by the fake solution and both the accuracy and efficiency were enhanced which made our algorithm has a bright future for further application.3. According to theory of Sobolev vector space and the discretization of Helmholtz space, the error estimate which was suitable for 3-D MT vector-finite element modeling was deduced by which the procedure of adaptive technique was guaranteed.4. Based on the fully unstructured tetrahedralization and optical strategy, the 3-D magnetotelluric h-adaptive vector-finite element method was presented through combining the error estimate. With this work, the accuracy and creditableness for 3-D MT complicatedly modeling was guaranteed.5. The 3-D magnetotelluric h-adaptive vector-finite element algorithm with unstructured mesh was implemented.

针对非结构化的四面体单元,采用坐标变换和数值积分方法,实现了MT三维矢量有限单元分析,建立起基于非结构化网格的三维MT矢量有限元计算流程,并对典型模型和国际标准电磁模型进行了数值模拟,结果对比和分析表明,基于非结构化网格的三维MT矢量有限元不仅消除了节点型有限元的伪解,而且具有很高的计算精度和速度,有广阔的应用前景。3、根据Sobolev函数的向量空间和Hemlholtz空间的分解,推导出基于残差的三维大地电磁矢量有限元后验误差估计公式,为三维大地电磁自适应矢量有限元数值模拟的实现奠定了基础。4、在完全非结构化四面体单元剖分及优化基础上,结合三维大地电磁矢量有限元后验误差估计公式,提出了基于非结构化网格的三维大地电磁h-型自适应矢量有限元计算策略,保证了对复杂大地电磁模型数值计算的精度和可靠性。5、实现了基于非结构化网格的三维大地电磁h-型自适应矢量有限元计算流程,对典型模型和国际标准电磁模型进行了数值模拟。

He proved that:if the total moving times of mesh M is a finite number and independent ofΔt andh.the L2-norm error estimate is optimal;if Mh is independent ofΔt and bounded,energy norm error estimate is optimal.

并证明了当网格变动次数M是不依赖于Δt和h的有限数时,近似解与真解的L2误差估计是最优的;当Mh不依赖于Δt且有界时,能量模误差估计最优。

The aims of this paper are to derive the optimal error estimates of eigenpairs, i.e. the optimal error estimate of eigenvalues, and the new error estimates of velocity, pressure including the L~2 - norm and energy norm, respectively, in which the L~2 - norm estimate of velocity on anisotropic meshes has not ever been seen in the precious literature.

对于Stokes特征值问题本文不仅得到了征值对的最优误差估计即:特征值和流速压力的零模和能量模以及压力的能量模最优误差估计,其中在各向异性网格下对此问题的零模估计尚未见报道。

For robustness of parameter estimation of linear model,we obtain the maximal classes of the error distribution,in which Generalized Least Squares Estimate,Gauss-Markov Estimate of estimable function of parameters,and Minimum Norm Quadratic Unbiased Estimator of variance maintain their optimal statistical properties.

这些研究成果不仪具有比较深刻的理论意义,还具有较为广泛的应用价值。

We make the following assumption for When 2 is positive definite matrix, different estimators about matrix of regression coefficients and inefficiency of Least squares estimate have been discussed in many documents. Considered 2 is nonnegative definite matrix, this thesis derives Best linear unbiased Estimate of parameter matrix B and estimable parameter function KBL under the meaning of matrix nonnegative definite and the property of maximum probability of BLUE is investigated.

当∑>0时,众多文献讨论了回归系数阵的各种估计及LSE的有效性,本文考虑了当∑≥0的情形,给出了回归系数阵B及其可估参数函数KBL的在矩阵非负定意义下的最优估计,研究了它的一个最大概率性质,并且讨论了最小二乘估计成为最佳线性无偏估计的充分必要条件,在此基础上给出了均值矩阵的最小二乘估计与BLUE的偏差估计,定义了LSE相对于BLUE的一个相对效率,并给出了它的界。

Thirdly, on the base of the existent error estimate of elliptical Galerkin projection operator, obtain semi-discrete and complete-discrete error estimates betwent EFG solution and exact solution of parabolic partial differential equation. Semi-discrete error estimate show that the rank of r is accordance with the approximation rank of subspace S_h. Complete-discrete error estimates show that it not only have relation with radius r of domain of influence, but also have relation with the step length of time variable and the way of discrete.Lastly, give typical examples and draw up procedures of MATLAB.

再次,在"椭圆Galerkin投影"算子的误差估计的基础上,对用EFG法解抛物型偏微分方程的EFG解与精确解之间作了半离散和全离散的误差估计,半离散的误差估计表明所给出的误差界限关于r的阶是与子空间S_h的逼近阶相一致的,全离散的误差估计表明所产生的误差不但与影响域半径r有关,而且与离散时间变量的步长τ及其离散方式有关。

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