1) Hampel M-estimators
汉佩尔M估计量
2) Biweight M-estimator
双权M估计量
3) Huber M-estimators
休伯M估计量
4) local M-estimator
局部M-估计量
1.
In other words,the one-step local M-estimator reduce significantly the computation cost of the fully-iterative M-estimator without deteriorating its performance.
为了降低估计量的计算负担,提出了一步局部M-估计量。
5) M-estimation
M-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。
6) M-Estimate
M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
补充资料：汉佩
1.亦作"汉佩"。 2.即汉皋珠。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条