On regularized Shannon sampling formulas with localized sampling
Abstract
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.
- Publication:
-
Sampling Theory, Signal Processing, and Data Analysis
- Pub Date:
- November 2022
- DOI:
- arXiv:
- arXiv:2203.09973
- Bibcode:
- 2022STSPD..20...20K
- Keywords:
-
- Regularized Shannon sampling formulas;
- Whittaker–Kotelnikov–Shannon sampling theorem;
- Bandlimited function;
- Window functions;
- Error estimates;
- Numerical robustness;
- 94A20;
- 65T50;
- Mathematics - Numerical Analysis;
- 94A20;
- 65T50