Function Approximation Using Haar Wavelets

被引：1
|
作者：
Majak, Juri [1 ]
Eerme, Martin [1 ]
Haavajoe, Anti [1 ]
Karunanidhi, Ramachandran [2 ]
Scholz, Dieter [2 ]
Lepik, Anti [3 ]
机构：
[1] Tallinn Univ Technol, Dept Mech & Ind Engn, Tallinn, Estonia
[2] Hamburg Univ Appl Sci, Hamburg, Germany
[3] Entrepreneurship Univ Appl Sci, Tallinn, Estonia
来源：
INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2019 | 2020年 / 2293卷
关键词：
NUMERICAL-SOLUTION; EQUATIONS;
D O I：
10.1063/5.0026543
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
The generalized approach for function approximation using Haar wavelets is proposed. An approach proposed is based on higher order wavelet expansion and algorithms for determining integration constants. The theoretical study is validated by numerical analysis. The decrease of the absolute error and increase of the numerical rate of convergence with respect to mesh has been observed in comparison with approach available in literature.
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收藏
页数：4
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