Measurement Data Fitting Based on Moving Least Squares Method
Joint Authors
Guo, Chunxian
Zhu, Chuanbao
Su, Xiangfeng
Zhang, Huaiqing
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-01-20
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
In the electromagnetic field measurement data postprocessing, this paper introduced the moving least squares (MLS) approximation method.
The MLS combines the concept of moving window and compact support weighting functions.
It can be regarded as a combination of weighted least squares and segmented least square.
The MLS not only can acquire higher precision even with low order basis functions, but also has good stability due to its local approximation scheme.
An attractive property of MLS is its flexible adjustment ability.
Therefore, the data fitting can be easily adjusted by tuning weighting function’s parameters.
Numerical examples and measurement data processing reveal its superior performance in curves fitting and surface construction.
So the MLS is a promising method for measurement data processing.
American Psychological Association (APA)
Zhang, Huaiqing& Guo, Chunxian& Su, Xiangfeng& Zhu, Chuanbao. 2015. Measurement Data Fitting Based on Moving Least Squares Method. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1073182
Modern Language Association (MLA)
Zhang, Huaiqing…[et al.]. Measurement Data Fitting Based on Moving Least Squares Method. Mathematical Problems in Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1073182
American Medical Association (AMA)
Zhang, Huaiqing& Guo, Chunxian& Su, Xiangfeng& Zhu, Chuanbao. Measurement Data Fitting Based on Moving Least Squares Method. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1073182
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073182