A rational approximation of the sinc function based on sampling and the Fourier transforms
In our previous publications we have introduced the cosine product-to-sum identity [17] $$ \prod\limits_{m = 1}^M {\cos \left( {\frac{t}{{{2^m}}} \right)} = \frac{1}{{{2^{M - 1}}}\sum\limits_{m = 1}^{{2^{M - 1}}} {\cos \left( {\frac{{2m - 1}}{{{2^M}}}t} \right)} $$ and applied it for sampling [1, 2]...
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Veröffentlicht in: | arXiv.org 2019-10 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | In our previous publications we have introduced the cosine product-to-sum identity [17] $$ \prod\limits_{m = 1}^M {\cos \left( {\frac{t}{{{2^m}}} \right)} = \frac{1}{{{2^{M - 1}}}\sum\limits_{m = 1}^{{2^{M - 1}}} {\cos \left( {\frac{{2m - 1}}{{{2^M}}}t} \right)} $$ and applied it for sampling [1, 2] as an incomplete cosine expansion of the sinc function in order to obtain a rational approximation of the Voigt/complex error function that with only \(16\) summation terms can provide accuracy \({\sim 10^{ - 14}}\). In this work we generalize this approach and show as an example how a rational approximation of the sinc function can be derived. A MATLAB code validating these results is presented. |
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ISSN: | 2331-8422 |
DOI: | 10.48550/arxiv.1812.10884 |