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"
}