Designing optimal sampling schemes

Johan Swärd, Filip Elvander, Andreas Jakobsson

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


In this work, we propose a method for finding an optimal, non-uniform, sampling scheme for a general class of signals in which the signal measurements may be non-linear functions of the parameters to be estimated. Formulated as a convex optimization problem reminiscent of the sensor selection problem, the method determines an optimal sampling scheme given a suitable estimation bound on the parameters of interest. The formulation also allows for putting emphasis on a particular set of parameters of interest by scaling the optimization problem in such a way that the bound to be minimized becomes more sensitive to these parameters. For the case of imprecise a priori knowledge of these parameters, we present a framework for customizing the sampling scheme to take such uncertainty into account. Numerical examples illustrate the efficiency of the proposed scheme.

Original languageEnglish
Title of host publication25th European Signal Processing Conference, EUSIPCO 2017
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9780992862671
Publication statusPublished - 2017 Oct 23
Event25th European Signal Processing Conference, EUSIPCO 2017 - Kos island, Kos, Greece
Duration: 2017 Aug 282017 Sept 2


Conference25th European Signal Processing Conference, EUSIPCO 2017

Subject classification (UKÄ)

  • Signal Processing


Dive into the research topics of 'Designing optimal sampling schemes'. Together they form a unique fingerprint.

Cite this