A new curve fitting method using area error feedback based on cubic splines is presented.
本文提出一种新的基于三次样条曲线的面积误差反馈曲线拟合方法。
Through using actual GPS leveling fitting data in a large-scale area, it introduces the application of optimum function model choice and the related analysis method.
文中通过一个大测区GPS水准实测数据，说明拟合模型优选准则的应用以及具体分析方法。
Since the concentration range measured is very wide (0-100%), curve-fitting method is used for obtaining the correlation equation correlating sample's concentration and peak area normalization data.
鉴于相平衡样品的浓度范围宽(0—100%)，所以，定量采用曲线拟合法求得标样浓度与峰面积归一数据的关系方程。
The quantitative analysis result shows that it can reach the given precision by only measuring limited area. It also shows that fitting-curve-method is better than averaging method for precision.
对刀口边缘误差进行了定量分析，得出在一定精度范围内测量光强的区域，定性分析了使用拟合法求MTF优于使用均值法求MTF。
The quantitative analysis result shows that it can reach the given precision by only measuring limited area. It also shows that fitting-curve-method is better than averaging method for precision.
对刀口边缘误差进行了定量分析，得出在一定精度范围内测量光强的区域，定性分析了使用拟合法求MTF优于使用均值法求MTF。
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