On regularized Shannon sampling formulas with localized sampling
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2022
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| _version_ | 1866910990405206016 |
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| author | Kircheis, Melanie Potts, Daniel Tasche, Manfred |
| author_facet | Kircheis, Melanie Potts, Daniel Tasche, Manfred |
| contents | In this paper we present new regularized Shannon sampling formulas which use localized sampling with special window functions, namely Gaussian, B-spline, and sinh-type window functions. In contrast to the classical Shannon sampling series, the regularized Shannon sampling formulas possess an exponential decay and are numerically robust in the presence of noise. Several numerical experiments illustrate the theoretical results. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2203_09973 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | On regularized Shannon sampling formulas with localized sampling Kircheis, Melanie Potts, Daniel Tasche, Manfred Numerical Analysis 94A20, 65T50 In this paper we present new regularized Shannon sampling formulas which use localized sampling with special window functions, namely Gaussian, B-spline, and sinh-type window functions. In contrast to the classical Shannon sampling series, the regularized Shannon sampling formulas possess an exponential decay and are numerically robust in the presence of noise. Several numerical experiments illustrate the theoretical results. |
| title | On regularized Shannon sampling formulas with localized sampling |
| topic | Numerical Analysis 94A20, 65T50 |
| url | https://arxiv.org/abs/2203.09973 |