Publication detail

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

MIHÁLIK, O.

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

MIHÁLIK, O.

Released

26. 6. 2020

Publisher

Brno University of Technology, Faculty of Electrical Engineering and Communication

Location

Brno

ISBN

978-80-214-5868-0

Book

Proceedings II of the 26th Conference STUDENT EEICT 2020

Edition

1

Pages from

136

Pages to

140

Pages count

5

URL

https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2020_sbornik_2.pdf

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"
}