摄像头和投射器参数同时采用非线性最小二乘估计模型进行估计，其输出包含被估计的参数及其准确度；
The parameters of the camera and the projector are simultaneously estimated by using non-linear least-square estimation model, whose outputs contain the estimated parameters and their accuracys.
本文给出了若干近似公式，以分析非线性回归模型的最小二乘估计的残差。
Several approximate formulas are given for residual analysis of the least square estimator in nonlinear regression model.
针对利用导弹引信多普勒频率数据求取脱靶量的问题，提出了一种非线性最小二乘优化参数估计方法。
In regard of evaluating miss distance of using missile fuze Doppler spectrum data, a optimizing parameter estimated method of nonlinear least square is put forward.
给出了线性回归模型中的加权最小二乘估计以及最优权数的选择。
This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model.
针对激光雷达一维距离像的目标识别，提出了利用最小二乘估计器和线性滑动更新器构造滤波器的算法。
A new arithmetic approach to the target identification of lidar range image was introduced by using the least squares estimation and linear glide updater for the design of a filter.
线性无偏最小方差估计与最优加权最小二乘估计是线性模型下两种最常用的估计方法。
The linear unbiased minimum variance estimate and the optimally weighted least squares estimate are two of the most popular estimation methods for a linear model.
该文给出了信号极点估计的非线性最小二乘求解方法。
In this paper the nonlinear least squares solution for signal-pole estimation is offered.
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）。
The randomly weighted least square estimator (RWLSE) for the parametric component in semi-parametric regression models was mainly discussed.
本文提出一种克服线性回归模型系数矩阵病态的“紧致最小二乘估计”。
In this paper a "compact least square method" is presented to overcome the ill-conditioned coefficient matrices in the linear regression models.
在线性回归中，常用最小二乘估计求线性方程的回归系数。
In linear regression, the least squares estimation is heavily innuenced with outlyers.
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 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.
在误差为相依的情况下，讨论了线性回归模型的刀切最小二乘估计与广义刀切最小二乘估计。
This paper studies linear regression models with dependent errors, and we introduce the jackknifed least squares estimator and generalized jackknife least squares estimator.
在信号处理、控制和通讯等技术领域，常常使用线性最小方差估计和最优加权最小二乘估计对参数作出估计。
Linear minimum variance estimate and optimally weighted LS estimate are often used in many fields such as signal processing, control and communications.
本文利用最小二乘估计给出噪声为ARMA序列线性模型中时变参数估计，并讨论了估计量的相容性问题。
In this paper we get the estimation of time-varying parameters in linear regression model with ARMA noise by the least square method and discuss the consistency of the estimation at the same time.
仿真结果表明这种新方法比线性位置线算法和泰勒级数展开最小二乘位置估计算法性能优越，在一定程度上提高了无线定位的准确度。
Simulation results show that it provides quite well improvement of location accuracy than linear line of position algorithm and Taylor series location estimation algorithm.
对于线性模型中回归参数的最小二乘估计的研究工作已经有了系统和完整的研究结论。
The research about least square estimation of regression parameters in the linear model has included integrated and systemic results.
应用遗传算法解决非线性最小二乘模型参数估计问题。
Solved the nonlinear Least square problem based on Genetic Algorithms.
所提出的辨识新方法，以递推最小二乘（RLS）参数估计与非线性规划（BFGS）为主体。
The new identification method for nonlinear systems is presented, which combinesrecursive least-square (RLS) parameter estimation with nonlinear programming (BFGS).
在给定的线性模型下，讨论了最优加权最小二乘估计与线性无偏最小方差估计性能比较。
The discussion on the property comparison between optimally weighted LS estimate and linear unbiased minimum variance estimate for a linear model is presented.
在给定的线性模型下，讨论了最优加权最小二乘估计与线性无偏最小方差估计性能比较。
The discussion on the property comparison between optimally weighted LS estimate and linear unbiased minimum variance estimate for a linear model is presented.
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