Effective Approximation of Bandlimited Signals and Their Samples

Holger Boche, Ullrich J. Monich

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

8 Zitate (Scopus)

Abstract

Shannon's sampling theorem is of high importance in signal processing, because it links the continuous-time and discrete-time worlds. For bandlimited signals we can switch from one domain into the other without loosing information. In this paper we analyze if and how this transition affects the computability of the signal. Computability is important in order that the approximation error can be controlled. We show that the computability of the signal is not always preserved. Further, we provide a simple necessary and sufficient condition for the computability of the continuous-time signal, and a simple canonical algorithm that can be used for the computation.

OriginalspracheEnglisch
Titel2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten5590-5594
Seitenumfang5
ISBN (elektronisch)9781509066315
DOIs
PublikationsstatusVeröffentlicht - Mai 2020
Veranstaltung2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Barcelona, Spanien
Dauer: 4 Mai 20208 Mai 2020

Publikationsreihe

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Band2020-May
ISSN (Print)1520-6149

Konferenz

Konferenz2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020
Land/GebietSpanien
OrtBarcelona
Zeitraum4/05/208/05/20

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