Detail publikace
Spectral Super-resolution and Band-limited Extrapolation Using Slepian Series
MIHÁLIK, O. MICHALÍK, D. JURA, P. FIEDLER, P.
Originální název
Spectral Super-resolution and Band-limited Extrapolation Using Slepian Series
Anglický název
Spectral Super-resolution and Band-limited Extrapolation Using Slepian Series
Jazyk
en
Originální abstrakt
Band-limited signal extrapolation and spectral super-resolutions are closely related. They both can be achieved using Slepian series. This method is often believed to be dependent on computing definite integrals. Instead of using numerical integration, a simple and reliable method, which can be implemented in MATLAB, is presented. This way, it is much easier to investigated the extent to which a signal can be extrapolated from its samples taken in a finite interval. The proposed method is tested with data from a real microphone array.
Anglický abstrakt
Band-limited signal extrapolation and spectral super-resolutions are closely related. They both can be achieved using Slepian series. This method is often believed to be dependent on computing definite integrals. Instead of using numerical integration, a simple and reliable method, which can be implemented in MATLAB, is presented. This way, it is much easier to investigated the extent to which a signal can be extrapolated from its samples taken in a finite interval. The proposed method is tested with data from a real microphone array.
Plný text v Digitální knihovně
Dokumenty
BibTex
@inproceedings{BUT159797,
author="Ondrej {Mihálik} and David {Michalík} and Pavel {Jura} and Petr {Fiedler}",
title="Spectral Super-resolution and Band-limited Extrapolation Using Slepian Series",
annote="Band-limited signal extrapolation and spectral super-resolutions are closely related. They both can be achieved using Slepian series. This method is often believed to be dependent on computing definite integrals. Instead of using numerical integration, a simple and reliable method, which can be implemented in MATLAB, is presented. This way, it is much easier to investigated the extent to which a signal can be extrapolated from its samples taken in a finite interval. The proposed method is tested with data from a real microphone array.",
address="IFAC",
booktitle="16th IFAC Conference on Programmable Devices and Embedded Systems – PDeS 2019.",
chapter="159797",
doi="10.1016/j.ifacol.2019.12.691",
edition="52",
howpublished="online",
institution="IFAC",
number="27",
year="2019",
month="october",
pages="388--393",
publisher="IFAC",
type="conference paper"
}