Designing optimal sampling schemes for multi-dimensional data

Johan Swärd, Filip Elvander, Andreas Jakobsson

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

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.
Original languageEnglish
Title of host publication2017 51st Asilomar Conference on Signals, Systems, and Computers
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages850-852
Number of pages3
ISBN (Electronic)978-1-5386-1823-3
DOIs
Publication statusPublished - 2017
Event51st Asilomar Conferenec on Signals, Systems, and Computers (ASILOMAR 2017) - Asilomar, Pacific Grove, United States
Duration: 2017 Oct 292017 Nov 1

Conference

Conference51st Asilomar Conferenec on Signals, Systems, and Computers (ASILOMAR 2017)
Country/TerritoryUnited States
CityPacific Grove
Period2017/10/292017/11/01

Subject classification (UKÄ)

  • Signal Processing

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