The Generalized Classes of Linear Symmetric Subdivision Schemes Free from Gibbs Oscillations and Artifacts in the Fitting of Data
This paper presents the advanced classes of linear symmetric subdivision schemes for the fitting of data and the creation of geometric shapes. These schemes are derived from the Bspline and Lagrange’s blending functions. The important characteristics of the derived schemes, including continuity, sup...
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| 主要な著者: | , , , , , |
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| フォーマット: | 論文 |
| 言語: | English English |
| 出版事項: |
MDPI AG
2023
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| 主題: | |
| オンライン･アクセス: | https://eprints.ums.edu.my/id/eprint/39222/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/39222/2/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/39222/ https://doi.org/10.3390/sym15091620 |
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