摘要
本文介绍了离散数据的最小二乘曲线拟合的方法及应用该方法实现曲线拟合的步骤。以已知函数为例提出了用Matlab实现离散数据的曲线拟合的算法,同时对拟合结果进行分析对比,确定采用分段低次拟合或平移变换提高曲线拟合的精确度。
A new method and application of least-square curve fitting to discrete data to achieve the effect is proposed by this paper. The method is based on the algorithm by means of matlab, illustrated by the case of specified functions. And the comparison study on the results shows that the low degree of fragmentation and translation transformation is to raise the accuracy.
出处
《岳阳职业技术学院学报》
2010年第3期96-99,共4页
Journal of Yueyang Vocational and Technical College
关键词
离散数据
最小二乘法
曲线拟合
正规方程组
分段低次拟合
平移变换
discrete data
least-square curve fitting
curve fitting
normal equation
low degree of fragmentation
translation transformation
