在估计并扣除系统误差之后，进行三通道最小二乘多项式滤波以更有效地抑制随机误差。
After the system error is estimated and deducted, the random error is effectively reduced by three channels polynomial least square filter.
讨论了最小二乘多项式拟合中引起正规方程组病态的两个重要原因：节点对原点的偏离程度和节点坐标的数量级。
In this paper two reasons-the deviation of the data from the origin and the size of the data-causing the ill-conditioned normal equations in the least square fitting of a polynomial are discussed.
针对目前心电图s T段诊断准确度不高，容易受到噪声干扰的情况，提出了一种基于最小二乘多项式拟合的ST段形态识别算法。
Concerning the low accuracy and easily being interfered by noise of ECG diagnosis of ST-segment, a ST-segment detection algorithm based on least-square polynomial fitting was proposed.
该算法是在最小二乘意义上的多项式曲线拟合，实验结果表明，其校正效果明显优于分段线性校正算法。
The algorithm is polynomial curve fitting based on least square approximation. The experimental result shows its performance is more effect than that of the piecewise linear algorithm.
采用基于最小二乘的分段多项式，建立了不同温度下EGO传感器的静态模型。
The static models of EGO sensors for different temperature were built up using sectioned polynomial based on the least square.
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。
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.
这种方法能够保证辨识出的参数是最佳的；而且不用求解对应的非线性最小二乘问题，只需求一元多项式的根，从而大大减少计算量。
This approach can guarantee that the identified parameters are optimal, by solving a one-dimensional polynomial equation instead of a nonlinear least square problem.
提出了利用自由节点样条函数来改善多项式最小二乘滤波器设计的模型和方法。
A novel model based on free node spline function is put forward to improve the design of the polynomial least square filter.
本文在介绍最小二乘曲线拟合原理的基础上，采用二元多项式对姿态参数进行平滑拟合，以实例验证了此方法的有效性。
Based on introducing the principles of the least square conic fitting, this paper USES binary polynomial fitting for the attitude parameters. And an example has proved that this method is useful.
然后各子图内像素灰度值以低阶多项式表示，依最小二乘准则以多项式逼近原图像的子图像。
Then, the image grey level of every subimage is approximated by low-order polynomial according to least-square criterion.
在半参数回归模型中采用最小二乘估计方法结合局部多项式方法来估计未知量，在一定条件下得到了估计量的相合性。
And estimated the unknown quantity using the methods of least square estimation and local polynomial estimation, obtained the consistency of estimation under certain condition.
在半参数回归模型中采用最小二乘估计方法结合局部多项式方法来估计未知量，在一定条件下得到了估计量的相合性。
And estimated the unknown quantity using the methods of least square estimation and local polynomial estimation, obtained the consistency of estimation under certain condition.
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