1)M-estimatorsM–估计器
1.To reduce the influence brought by bad data, a robust parametric harmonic analysis method is proposed, which is based on M-estimators and can be used to estimate unknown parameters of all harmonics and inter-harmonics in signals in an iterative way.为减少大偏差数据对参数估计精度及有效性的影响,提出将稳健统计方法应用于谐波参数估计,推导基于M–估计器的谐波参数的迭代优化计算公式。
2)M-estimatorM估计器
1.M-estimator based support vector machine and its application基于M估计器的支持向量机算法及其应用
2.After estimating the optimal control points using M-estimator, the roa.该方法将计算得到的图像局部方差与不连续性特征进行融合获得图像的非同质性特征,并利用比例直方图法得到的阈值自适应地对上述结果二值化,然后用鲁棒M估计器估计样条拟合的最优控制点,进而用3点Catmull Rom样条拟合道路边界。
英文短句/例句
1.M-estimator based support vector machine and its application基于M估计器的支持向量机算法及其应用
2.Method for Global Motion Estimation Based on Robust M-estimator基于鲁棒M-估计器的全局运动估计方法
3.Local M-Estimation for Varying-Coefficient Partially Linear Model;变系数部分线性模型的局部M-估计
4.Linear strong representative of M-estimators in semiparametric regression models;半参数回归模型M估计的线性强表示
5.Ambient Air-determination of Sulfur Dioxide with M-estimation;M—估计用于环境空气二氧化硫的测定
6.Channel Estimation in OFDM Systems Based on Mismatched-Sequence基于m序列的判决反馈OFDM信道估计
7.Variable bandwidth and one step local M-estimation of varying coefficient models变系数模型变窗宽和一步局部M-估计
8.Robust Power Harmonic Analysis Method Based on M-estimation基于M-估计的电力谐波稳健分析方法
9.An Improved Robust Method of M-Estimators一种改进的M-Estimators基础矩阵鲁棒估计法
10.Estimation of Value-at-risk Using PGARCH-M Model利用PGARCH-M模型估计风险值
11.Trust Region Method of Implicit Nonlinear Model s M-estimate and Statisticians Property;隐非线性M估计的信赖域法及其统计性质
12.Remote &Machine:远程机器(&M):
13.The Design and Optimization of AVS-M Decoder;AVS-M视频解码器的设计和优化
14.Design and Realization of H.264 and AVS-M Video Transcoder;H.264与AVS-M视频转码器设计与实现
15.The Robust M-estimation of Semi-varying Coefficient-Models and the Random Constrained Estimation with Co-relational Errors;半变系数模型的M-估计与误差相关下的随机约束估计
16.We will be satisfied with a crude observation about the size of M.我们将满足于关于m的大小的一个粗略的估计。
17.A New Relative Efficiency of the Parameter Estimate in Generalized Gauss-Markov Models;广义G-M模型参数估计的一种新的相对效率
18.Strong Consistency of M-Estimator in Linear Model for Dependent Samples;相依样本线性模型参数M估计的强相合性
相关短句/例句
M-estimatorM估计器
1.M-estimator based support vector machine and its application基于M估计器的支持向量机算法及其应用
2.After estimating the optimal control points using M-estimator, the roa.该方法将计算得到的图像局部方差与不连续性特征进行融合获得图像的非同质性特征,并利用比例直方图法得到的阈值自适应地对上述结果二值化,然后用鲁棒M估计器估计样条拟合的最优控制点,进而用3点Catmull Rom样条拟合道路边界。
3)M-estimatorM-估计器
1.Method for Global Motion Estimation Based on Robust M-estimator基于鲁棒M-估计器的全局运动估计方法
2.Further more, an M-estimator for mesh filtering is presented.从最小平方估计的观点揭示了最小平方估计与Laplacian光顺算法之间的关联,并进一步提出了M-估计器在网格光顺中的应用,最后延伸M-估计器至二次加权的M-估计器,在抑制噪声的同时有效地保持了表面特征。
4)M-estimationM-估计
1.Although M-estimation as the object function can be used to solve the problem,its corresponding influence function is determined by the absolute value of gross error and it is a key problem to choose initial parameters.虽然以M-估计作为目标函数可以解决这个问题,但由于其对应的影响函数由残差绝对值决定,因此如何选择初始参数值成为一个关键问题。
2.This method is based on M-estimation.针对存在粗差或异常数据点时,最小二乘定位方法会产生定位错误的情况,本文提出了基于M-估计的稳健标靶球定位方法。
5)M-EstimateM估计
1.An Algorithm of Multi-Sensors Weighted Fusion Based on M-Estimate Applied in Single-Point Positioning;基于M估计的多传感器加权融合法在单点定位中的应用
2.Multi-Sensor Data Robust Weighted Fusion Algorithm Simulation Based on M-estimate;基于M估计的多传感器数据稳健加权融合算法仿真
3.M-estimate Based Kalman Filter with Immunity to Outliers;基于M估计的抗野值卡尔曼滤波方法
6)M estimationM估计
1.For improving the accuracy, real-time property and reliability in GNSS real time single point navigation and positioning, three algorithms(Least squares estimation, M estimation and robust Kalman filter estimation) based on residual analysis for gross errors in real time observation were analyzed and compared.在利用卫星导航定位系统进行单点导航定位时,为了进一步提高导航定位的精度、实时性和可靠性,针对实时观测信息中存在粗差问题,基于残差分析理论,比较分析了最小二乘法、M估计、抗差滤波估计方法在GNSS单点导航定位中参数估计问题。
延伸阅读
[3-(aminosulfonyl)-4-chloro-N-(2.3-dihydro-2-methyl-1H-indol-1-yl)benzamide]分子式:C16H16ClN3O3S分子量:365.5CAS号:26807-65-8性质:暂无制备方法:暂无用途:用于轻、中度原发性高血压。