Weighting Least Squares Fitting method 加权最小二乘拟合法
least squares fitting method 最小二乘法
the least-squares fitting method 最小二乘拟合法
least squares curve fitting method 最小二乘曲线拟合法
linear-least-squares fitting method 线性最小二乘拟合法
The paper adopts the method of multinomial least squares as fitting to make the fitting function be simple and the amount of compensation interval be least, reduces the calculation cost.
同时，拟合方法采用目前非常成熟的多项式最小二乘拟合。从而不仅能控制拟合函数的复杂性，而且使分段拟合的补偿区间数量达到最少，极大地降低了计算成本。
Use Chaos and fractal analysis routines, LCMV optimization design array signal processing, Multivariate least squares fitting method of nonlinear equations.
使用混沌与分形分析的例程，LCMV优化设计阵列处理信号，利用最小二乘法进行拟合多元非线性方程。
The comparison among various methods of parameter estimation shows that the least-squares fitting method in the time domain is more accurate one.
各种参数估值方法的比较表明，时间域最小二乘拟合法较为精确。
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