Research Publications in journals:
The Kramer sampling theorem revisited
Year:2013
Research Areas
- Mathematics,
- Engineering
Information
|
Abstract
|
|
|---|---|
| The classical Kramer sampling theorem provides a method for obtaining or- thogonal sampling formulas. Besides, it has been the cornerstone for a significant mathematical literature on the topic of sampling theorems associated with differ- ential and difference problems. In this work we provide, in an unified way, new and old generalizations of this result corresponding to various different settings; all these generalizations are illustrated with examples. All the different situations along the paper share a basic approach: the functions to be sampled are obtaining by duality in a separable Hilbert space H through an H-valued kernel K defined on an appropriate domain. | |
|
International
|
Si |
|
JCR
|
Si |
|
Title
|
Acta Applicandae Mathematicae |
|
ISBN
|
0167-8019 |
|
Impact factor JCR
|
0,985 |
|
Impact info
|
Datos JCR del año 2012 |
|
Volume
|
|
|
|
http://dx.doi.org/10.1007/s10440-013-9860-1 |
|
Journal number
|
|
|
From page
|
1 |
|
To page
|
25 |
|
Month
|
SIN MES |
|
Ranking
|
|
Open Access publication
Participants
- Autor: Miguel Angel Hernandez Medina UPM
Research Group, Departaments and Institutes related
- Creador: Grupo de Investigación: Grupo de Sistemas Dinámicos, Aprendizaje y Control (SISDAC)
- Departamento: Matemática Aplicada a las Tecnologías de la Información