Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Reconstruction of irregularly sampled discrete-time bandlimited signals with unknown sampling locations
 
research article

Reconstruction of irregularly sampled discrete-time bandlimited signals with unknown sampling locations

Marziliano, Pina  
•
Vetterli, Martin  
2000
IEEE Transactions on Signal Processing

The purpose of this paper is to develop methods that can reconstruct a bandlimited discrete-time signal from an irreg- ular set of samples at unknown locations. We define a solution to the problem using first a geometric and then an algebraic point of view. We find the locations of the irregular set of samples by treating the problem as a combinatorial optimization problem. We employ an exhaustive method and two descent methods: the random search and cyclic coordinate methods. The numerical simulations were made on three types of irregular sets of locations: random sets; sets with jitter around a uniform set; and periodic nonuniform sets. Furthermore, for the periodic nonuniform set of locations, we de- velop a fast scheme that reduces the computational complexity of the problem by exploiting the periodic nonuniform structure of the sample locations in the DFT.

  • Files
  • Details
  • Metrics
Type
research article
DOI
10.1109/78.887038
Web of Science ID

WOS:000165559600019

Author(s)
Marziliano, Pina  
Vetterli, Martin  
Date Issued

2000

Published in
IEEE Transactions on Signal Processing
Volume

48

Issue

12

Start page

3462

End page

3471

Subjects

bandlimited

•

irregular sampling

•

jitter

•

periodic nonuniform

•

unknown location

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LCAV  
Available on Infoscience
April 18, 2005
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/212786
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés