The joint inversion problem of gravimetric and seismic data in layered medium can be converted into an optimization problem by introducing a weighted least square objective functional.
该方法通过引入加权最小平方目标泛函，将层状介质中的重力、地震资料联合反演问题转化成具体的优化问题。
An adaptive filter for video image sequence super resolution reconstruction is proposed on the basis of the weighted least square and PDE regularization in this paper.
在加权最小二乘的基础上，结合PDE正则化，提出了一种视频图像序列超分辨率重建的自适应滤波方法。
The randomly weighted least square estimator (RWLSE) for the parametric component in semi-parametric regression models was mainly discussed.
主要考虑了同方差型的半参数线性回归模型中参数的随机加权最小二乘估计（RWLSE）。
A model for forecasting SO2 pollution in atmosphere was developed and a weighted real-time least square algorithm was applied to the real-time identification of the model.
考虑了影响大气扩散的主要气象因素及其它因素，提出了一个大气so_2污染预测模型，并运用加权实时最小二乘算法对模型进行实时辨识。
In this paper, a kind of iterative weighted residual method is suggested. It is shown theoretically that the method of the least square for linear problems is convergent.
本文提出一种分步迭代的加权残值方法，并从理论上证明了分步迭代的最小二乘法用于求解线性问题时的收敛性。
In this paper, the method of weighted least square estimate is proposed to construct ARMA model, which can be applied in power system load forecasting.
采用加权最小二乘法参数估计方法，得到应用于电力系统日负荷预测和月负荷预测的ARMA模型。
It is shown in this paper that the Least-Mean-Square algorithm cannot minimize the mean square error, and that it is actually a kind of weighted Least-Square algorithm.
本文指出最小均方算法并不能使均方误差最小，证明了最小均方算法实际上是一种加权最小二乘算法。
Weighted least square estimation for target location and Kalman filtering for tracking and predication are used in such passive location system.
该无源被动定位系统采用了加权最小二乘法来估计目标位置并用卡尔曼滤波器对目标进行跟踪与预测。
Weighted least square estimation for target location and Kalman filtering for tracking and predication are used in such passive location system.
该无源被动定位系统采用了加权最小二乘法来估计目标位置并用卡尔曼滤波器对目标进行跟踪与预测。
应用推荐