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Designing optimal sampling schemes for multi-dimensional data

Swärd, Johan LU ; Elvander, Filip LU and Jakobsson, Andreas LU orcid (2017) 51st Asilomar Conferenec on Signals, Systems, and Computers (ASILOMAR 2017) p.850-852
Abstract
In this work, we propose a method for determining an optimal, non-uniform, sampling scheme for multi-dimensional signals by solving a convex optimization problem reminiscent of the sensor selection problem. The optimal sampling scheme is determined given a suitable estimation bound on the parameters of interest, as well as incorporating any imprecise a priori knowledge of the locations of the parameters. Numerical examples illustrate the efficiency of the proposed scheme.
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
2017 51st Asilomar Conference on Signals, Systems, and Computers
pages
3 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
51st Asilomar Conferenec on Signals, Systems, and Computers (ASILOMAR 2017)
conference location
Pacific Grove, United States
conference dates
2017-10-29 - 2017-11-01
external identifiers
  • scopus:85050969825
ISBN
978-1-5386-1823-3
DOI
10.1109/ACSSC.2017.8335468
language
English
LU publication?
yes
id
b3160c2b-a0e8-464d-8efb-a115de5b65cb
date added to LUP
2018-04-25 11:24:47
date last changed
2022-01-31 03:07:29
@inproceedings{b3160c2b-a0e8-464d-8efb-a115de5b65cb,
  abstract     = {{In this work, we propose a method for determining an optimal, non-uniform, sampling scheme for multi-dimensional signals by solving a convex optimization problem reminiscent of the sensor selection problem. The optimal sampling scheme is determined given a suitable estimation bound on the parameters of interest, as well as incorporating any imprecise a priori knowledge of the locations of the parameters. Numerical examples illustrate the efficiency of the proposed scheme.}},
  author       = {{Swärd, Johan and Elvander, Filip and Jakobsson, Andreas}},
  booktitle    = {{2017 51st Asilomar Conference on Signals, Systems, and Computers}},
  isbn         = {{978-1-5386-1823-3}},
  language     = {{eng}},
  pages        = {{850--852}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Designing optimal sampling schemes for multi-dimensional data}},
  url          = {{http://dx.doi.org/10.1109/ACSSC.2017.8335468}},
  doi          = {{10.1109/ACSSC.2017.8335468}},
  year         = {{2017}},
}