1) FGLS
可行广义最小二乘法
2) generalized least square method
广义最小二乘法
1.
In this paper,the estimation of coefficient functions in a varying-coefficients EV model are constructed by using kernel smoothing and generalized least square method.
利用核函数法和广义最小二乘法给出了一般变系数EV模型系数参数的估计,得到了估计的强相合性。
2.
For the important role of mathematical model in data processing of dynamic calibration and combining the experimental data of dynamically calibrating acceleration sensor test system based on the Hopkinson bar,a generalized least square method of dynamic model is introduced.
针对数学模型在动态校准实验数据处理中的重要地位,结合Hopkinson杆对加速度传感器测试系统动态校准所得实验数据,介绍了一种基于广义最小二乘法的动态数学模型建立方法。
3) generalized least squares method
广义最小二乘法
1.
According to the characteristics of data collection,generalized least squares method was used to calibrate model.
根据采集数据的特点,采用广义最小二乘法标定模型。
4) generalized extend least squares
广义增广最小二乘法
5) general reversion of least square
最小二乘广义逆法
1.
In order to reduce the mean error of double CCD closed photogrammetric system used in measuring large caliber object with reflective surface , the architecture and principle of a visual measurement system based on photogrammetry are described——the method of general reversion of least square.
为了提高双CCD摄影测量系统对大口径且具有反射表面物体的近场三维测量精度 ,提出用最小二乘广义逆法解决成像系统的非线性问题 ,分析比较了用最小二乘广义逆法和Levenberg -Marquart2种方法解决成像系统的非线性问题 ,并采用投影生成特征点法 ,对圆抛物面形卫星天线进行测量 ,重构其面形。
6) LSGMA
最小二乘广义模值算法
1.
The convergence behavior of the least squares general modulus algorithm (LSGMA) is analyzed under several signal environments.
对用于波束形成的最小二乘广义模值算法(LSGMA)在多种信号环境下的收敛性能进行了分析;在此基础上提出一种新的多用户盲波束形成算法———迭代最小二乘广义模投影(ILSP-GMA)算法,克服LSGMA算法当恒模干扰信号强于所需信号时会错误收敛的缺陷。
补充资料：可行
行得通；可以实行：方案切实～。
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