Designing optimal sampling schemes

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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.

Titel på värdpublikation25th European Signal Processing Conference, EUSIPCO 2017
FörlagIEEE - Institute of Electrical and Electronics Engineers Inc.
Antal sidor5
ISBN (elektroniskt)9780992862671
StatusPublished - 2017 okt. 23
Evenemang25th European Signal Processing Conference, EUSIPCO 2017 - Kos island, Kos, Grekland
Varaktighet: 2017 aug. 282017 sep. 2


Konferens25th European Signal Processing Conference, EUSIPCO 2017

Ämnesklassifikation (UKÄ)

  • Signalbehandling


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