Shannon’s Sampling Theorem for Bandlimited Signals and Their Hilbert Transform, Boas-Type Formulae for Higher Order Derivatives—The Aliasing Error Involved by Their Extensions from Bandlimited to Non-Bandlimited Signals

The paper is concerned with Shannon sampling reconstruction formulae of derivatives of bandlimited signals as well as of derivatives of their Hilbert transform, and their application to Boas-type formulae for higher order derivatives. The essential aim is to extend these results to non-bandlimited s...

Full description

Bibliographic Details
Main Authors: Rudolf L. Stens, Gerhard Schmeisser, Paul L. Butzer
Format: Article
Language:English
Published: MDPI AG 2012-11-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/14/11/2192
_version_ 1818035756377047040
author Rudolf L. Stens
Gerhard Schmeisser
Paul L. Butzer
author_facet Rudolf L. Stens
Gerhard Schmeisser
Paul L. Butzer
author_sort Rudolf L. Stens
collection DOAJ
description The paper is concerned with Shannon sampling reconstruction formulae of derivatives of bandlimited signals as well as of derivatives of their Hilbert transform, and their application to Boas-type formulae for higher order derivatives. The essential aim is to extend these results to non-bandlimited signals. Basic is the fact that by these extensions aliasing error terms must now be added to the bandlimited reconstruction formulae. These errors will be estimated in terms of the distance functional just introduced by the authors for the extensions of basic relations valid for bandlimited functions to larger function spaces. This approach can be regarded as a mathematical foundation of aliasing error analysis of many applications.
first_indexed 2024-12-10T07:00:07Z
format Article
id doaj.art-6a082e61a8ed47ffbc797cd99642f963
institution Directory Open Access Journal
issn 1099-4300
language English
last_indexed 2024-12-10T07:00:07Z
publishDate 2012-11-01
publisher MDPI AG
record_format Article
series Entropy
spelling doaj.art-6a082e61a8ed47ffbc797cd99642f9632022-12-22T01:58:21ZengMDPI AGEntropy1099-43002012-11-0114112192222610.3390/e14112192Shannon’s Sampling Theorem for Bandlimited Signals and Their Hilbert Transform, Boas-Type Formulae for Higher Order Derivatives—The Aliasing Error Involved by Their Extensions from Bandlimited to Non-Bandlimited SignalsRudolf L. StensGerhard SchmeisserPaul L. ButzerThe paper is concerned with Shannon sampling reconstruction formulae of derivatives of bandlimited signals as well as of derivatives of their Hilbert transform, and their application to Boas-type formulae for higher order derivatives. The essential aim is to extend these results to non-bandlimited signals. Basic is the fact that by these extensions aliasing error terms must now be added to the bandlimited reconstruction formulae. These errors will be estimated in terms of the distance functional just introduced by the authors for the extensions of basic relations valid for bandlimited functions to larger function spaces. This approach can be regarded as a mathematical foundation of aliasing error analysis of many applications.http://www.mdpi.com/1099-4300/14/11/2192sampling formulaedifferentiation formulaenon-bandlimited functionsaliasing errorHilbert transformsformulae with remaindersderivative-free error estimatesBernstein’s inequality
spellingShingle Rudolf L. Stens
Gerhard Schmeisser
Paul L. Butzer
Shannon’s Sampling Theorem for Bandlimited Signals and Their Hilbert Transform, Boas-Type Formulae for Higher Order Derivatives—The Aliasing Error Involved by Their Extensions from Bandlimited to Non-Bandlimited Signals
Entropy
sampling formulae
differentiation formulae
non-bandlimited functions
aliasing error
Hilbert transforms
formulae with remainders
derivative-free error estimates
Bernstein’s inequality
title Shannon’s Sampling Theorem for Bandlimited Signals and Their Hilbert Transform, Boas-Type Formulae for Higher Order Derivatives—The Aliasing Error Involved by Their Extensions from Bandlimited to Non-Bandlimited Signals
title_full Shannon’s Sampling Theorem for Bandlimited Signals and Their Hilbert Transform, Boas-Type Formulae for Higher Order Derivatives—The Aliasing Error Involved by Their Extensions from Bandlimited to Non-Bandlimited Signals
title_fullStr Shannon’s Sampling Theorem for Bandlimited Signals and Their Hilbert Transform, Boas-Type Formulae for Higher Order Derivatives—The Aliasing Error Involved by Their Extensions from Bandlimited to Non-Bandlimited Signals
title_full_unstemmed Shannon’s Sampling Theorem for Bandlimited Signals and Their Hilbert Transform, Boas-Type Formulae for Higher Order Derivatives—The Aliasing Error Involved by Their Extensions from Bandlimited to Non-Bandlimited Signals
title_short Shannon’s Sampling Theorem for Bandlimited Signals and Their Hilbert Transform, Boas-Type Formulae for Higher Order Derivatives—The Aliasing Error Involved by Their Extensions from Bandlimited to Non-Bandlimited Signals
title_sort shannon s sampling theorem for bandlimited signals and their hilbert transform boas type formulae for higher order derivatives the aliasing error involved by their extensions from bandlimited to non bandlimited signals
topic sampling formulae
differentiation formulae
non-bandlimited functions
aliasing error
Hilbert transforms
formulae with remainders
derivative-free error estimates
Bernstein’s inequality
url http://www.mdpi.com/1099-4300/14/11/2192
work_keys_str_mv AT rudolflstens shannonssamplingtheoremforbandlimitedsignalsandtheirhilberttransformboastypeformulaeforhigherorderderivativesthealiasingerrorinvolvedbytheirextensionsfrombandlimitedtononbandlimitedsignals
AT gerhardschmeisser shannonssamplingtheoremforbandlimitedsignalsandtheirhilberttransformboastypeformulaeforhigherorderderivativesthealiasingerrorinvolvedbytheirextensionsfrombandlimitedtononbandlimitedsignals
AT paullbutzer shannonssamplingtheoremforbandlimitedsignalsandtheirhilberttransformboastypeformulaeforhigherorderderivativesthealiasingerrorinvolvedbytheirextensionsfrombandlimitedtononbandlimitedsignals