Regularized Shannon Sampling Formulas Related to the Special Affine Fourier Transform

Abstract In this paper, we present new regularized Shannon sampling formulas related to the special affine Fourier transform (SAFT). These sampling formulas use localized sampling with special compactly supported, continuous window functions, namely B-spline, $$\sinh $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mo>sinh</mml:mo> </mml:math> -type, and continuous Kaiser–Bessel window functions. In contrast to the known Shannon sampling series for SAFT, the regularized Shannon sampling formulas for SAFT possesses an exponential decay of the approximation error and are numerically robust in the presence of noise, if certain oversampling condition is fulfilled.

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Publication Details

Journal
Journal of Fourier Analysis and Applications
Published
2025-05-30
DOI
https://doi.org/10.1007/s00041-025-10173-8
Citations
1
Primary Topic
Mathematical Analysis and Transform Methods
Type
article
Field-Weighted Citation Impact
3.73
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article

Regularized Shannon Sampling Formulas Related to the Special Affine Fourier Transform

Frank Filbir, Manfred Tasche
1 citations
Journal of Fourier Analysis and Applications
Mathematical Analysis and Transform Methods
3.73
article

Regularized Shannon Sampling Formulas Related to the Special Affine Fourier Transform

Frank Filbir, Manfred Tasche
article en
1 citations

Abstract

Abstract In this paper, we present new regularized Shannon sampling formulas related to the special affine Fourier transform (SAFT). These sampling formulas use localized sampling with special compactly supported, continuous window functions, namely B-spline, $$\sinh $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mo>sinh</mml:mo> </mml:math> -type, and continuous Kaiser–Bessel window functions. In contrast to the known Shannon sampling series for SAFT, the regularized Shannon sampling formulas for SAFT possesses an exponential decay of the approximation error and are numerically robust in the presence of noise, if certain oversampling condition is fulfilled.

Journal of Fourier Analysis and ApplicationsVol. 31(3)
Helmholtz Zentrum München (DE), University of Rostock (DE)
Openalex Percentile: Top 10%
Mathematical Analysis and Transform Methods
3.73
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