Detail publikace

Reconstruction of Non-Uniformly Sampled Signals Using Gerchberg-Papoulis Method

MIHÁLIK, O.

Originální název

Reconstruction of Non-Uniformly Sampled Signals Using Gerchberg-Papoulis Method

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Analysis of non-uniformly sampled signals is often severely limited, since most signal processing methods rely on constant sampling period. If we still want to apply these methods, the signal must be resampled. Gerchberg-Papoulis algorithm is a method of signal reconstruction. It is commonly used for band-limited extrapolation of uniformly sampled data. We show that it is suitable for reconstruction of non-uniformly sampled signals as well. Our target application is reconstruction of time series measured by a car driving simulator. To demonstrate the benefits of band-limited reconstruction, we compare it with standard interpolation methods. The main advantage of the proposed algorithm is its ability to deal with noise and sampling jitter.

Klíčová slova

Gerchberg-Papoulis; non-uniform sampling; jitter; band-limited signal; one-step reconstruction

Autoři

MIHÁLIK, O.

Vydáno

26. 6. 2020

Nakladatel

Brno University of Technology, Faculty of Electrical Engineering and Communication

Místo

Brno

ISBN

978-80-214-5868-0

Kniha

Proceedings II of the 26th Conference STUDENT EEICT 2020

Edice

1

Strany od

136

Strany do

140

Strany počet

5

URL

BibTex

@inproceedings{BUT163791,
  author="Ondrej {Mihálik}",
  title="Reconstruction of Non-Uniformly Sampled Signals Using Gerchberg-Papoulis Method",
  booktitle="Proceedings II of the 26th Conference STUDENT EEICT 2020",
  year="2020",
  series="1",
  pages="136--140",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno",
  isbn="978-80-214-5868-0",
  url="https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2020_sbornik_2.pdf"
}