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Designing optimal sampling schemes for multi-dimensional data

Swärd, Johan LU ; Elvander, Filip LU and Jakobsson, Andreas LU (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
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
2020-01-13 00:39:37
@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},
}