Consistent Sampling Approximations in Abstract Hilbert Spaces

Axioms Pub Date : 2024-07-21 DOI:10.3390/axioms13070489
Sinuk Kang, Kil Hyun Kwon, Dae Gwan Lee
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Abstract

This paper considers generalized consistent sampling and reconstruction processes in an abstract separable Hilbert space. Using an operator-theoretical approach, quasi-consistent and consistent approximations with optimal properties, such as possessing the minimum norm or being closest to the original vector, are derived. The results are illustrated with several examples.
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抽象希尔伯特空间中的一致采样近似法
本文考虑了抽象可分离希尔伯特空间中的广义一致采样和重建过程。利用算子理论方法,推导出具有最佳特性(如具有最小规范或最接近原始向量)的准一致和一致近似值。我们用几个例子来说明这些结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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