NDLI: A piecewise curve fitting method of processing meteorological detecting data based on the least squares of orthogonal polynomial

Content Provider	IEEE Xplore Digital Library
Author	Li Jianbao Zhang Tie Sun Baojing Tong Xin
Copyright Year	2011
Description	Author affiliation: School of Sciences, Northeastern University, Shenyang 110004, China (Li Jianbao; Zhang Tie) \|\| Electric Detection Department, Shenyang Artillery Academy, Shenyang 110867, China (Sun Baojing) \|\| Institute of Scientific & Technical Information of Liaoning Province, Shenyang 110016, China (Tong Xin)
Abstract	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.
Starting Page	838
Ending Page	841
File Size	290111
Page Count	4
File Format	PDF
ISBN	9781424487370
e-ISBN	9781424487387
DOI	10.1109/CCDC.2011.5968299
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interpolation Smoothing methods Shape piecewise curve fitting least squares orthogonal polynomial Data processing Polynomials Electronic mail meteorological detecting Curve fitting
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Adaptive Approximation by Piecewise Linear Polynomials on Triangulations of Subsets of Scattered Data

Surface interpolation of meshes with shape optimization

Efficient Methods for Data Smoothing

Updating and Downdating of Orthogonal Polynomials with Data Fitting Applications

A Method for Filtering Noise Data by Blending Local Least Squares Fitting Curves

Local polynomial estimation of regression functions for mixing processes

Automatic Data Visulization Using Spline Functions

An Algorithm for Summing Orthogonal Polynomial Series and their Derivatives with Applications to Curve-Fitting and Interpolation

Parameter Estimation Using Least-Squares Polynomial Smoothing

A piecewise curve fitting method of processing meteorological detecting data based on the least squares of orthogonal polynomial

Similar Documents

Adaptive Approximation by Piecewise Linear Polynomials on Triangulations of Subsets of Scattered Data

Surface interpolation of meshes with shape optimization

Efficient Methods for Data Smoothing

Updating and Downdating of Orthogonal Polynomials with Data Fitting Applications

A Method for Filtering Noise Data by Blending Local Least Squares Fitting Curves

Local polynomial estimation of regression functions for mixing processes

Automatic Data Visulization Using Spline Functions

An Algorithm for Summing Orthogonal Polynomial Series and their Derivatives with Applications to Curve-Fitting and Interpolation

Parameter Estimation Using Least-Squares Polynomial Smoothing

A piecewise curve fitting method of processing meteorological detecting data based on the least squares of orthogonal polynomial