Generalized Exponential Sampling Theory

Carlo Bardaro, Paul L. Butzer, Ilaria Mantellini and Gerhard Schmeisser
Additional contact information
Carlo Bardaro: University of Perugia, Department of Mathematics and Informatics
Paul L. Butzer: RWTH Aachen University, Lehrstuhl A für Mathematik
Ilaria Mantellini: University of Perugia, Department of Mathematics and Informatics
Gerhard Schmeisser: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Department Mathematik

Chapter Chapter 13 in Mellin Analysis, Transform Theory, and Applications, 2025, pp 381-431 from Springer

Abstract: Abstract In this chapter we present a different approach to approximate sampling formulae by using general kernels in place of the lin c $$\mathrm {lin}_c$$ function. This allows us to establish approximate reconstruction formulae under weak assumptions on the function f . $$f.$$

Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-96672-9_13

Ordering information: This item can be ordered from
http://www.springer.com/9783031966729

DOI: 10.1007/978-3-031-96672-9_13

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().