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.
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.
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.
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.
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