A Piecewise Curve Fitting Method of Processing Meteorological Detecting Data Based on the Least Squares of Orthogonal Polynomial

被引：0

作者：

Li Jianbao ^{[1
]}

Zhang Tie ^{[1
]}

Sun Baojing ^{[2
]}

Tong Xin ^{[3
]}

机构：

[1] Northeastern Univ, Sch Sci, Shenyang 110004, Liaoning, Peoples R China

[2] Shenyang Artillery Acad, Elect Detect Dept, Shenyang 110867, Liaoning, Peoples R China

[3] Inst Sci & Tech Informat Liaoning Prov, Shenyang 110016, Liaoning, Peoples R China

来源：

2011 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6 | 2011年

关键词：

orthogonal polynomial; least squares; piecewise curve fitting; meteorological detecting; SCATTERED DATA; INTERPOLATION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In according with the character of the large number and complex and unpredicted trend on change of the meteorological detecting data, the piecewise curve fitting method based on the least squares of orthogonal polynomial for scattered data is presented. Firstly, the reason of using the least squares of orthogonal polynomial for scattered data is introduced from the respect of the stability of data processing. Secondly, the principle of twice piecewise curve fitting is set out in detail from the respect of the shape preserving feature of curve fitting. Finally, as the temperature detecting data for example, it is proved clearly that the twice piecewise curve fitting method can make much better fitting precision than the traditional interpolation method, and improve the level of precision and automation of the meteorological detecting data processing.

引用

页码：838 / +

页数：2

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