Polynomial curve fitting is a usually used data fitting method. When there are too many data for fitting, only just one polynomial curve function cannot acquire good fitting effect.
多项式曲线拟合是一种较常用的数据处理方法，但当数据点较多时，只采用一种多项式曲线函数拟合所有数据点难以取得较好的拟合效果。
The Fourier polynomial fitting is compared with the Chebysher polynomial fitting in the division of cyclic time interval and fitting accuracy as well as convergence of function.
将本方法在周期时段划分、拟合精度、函数收敛方面与契比雪夫多项式拟合法进行了对比。
The normal calculation methods are polynomial fitting and spectral response function fitting.
计算扫描颜色通常可以用多项式曲线拟合法和光谱响应计算法。
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