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Balanced sensor management across multiple time instances via l-1/l-infinity norm minimization

Rusu, Cristian, Thompson, John and Robertson, Neil M. (2017) Balanced sensor management across multiple time instances via l-1/l-infinity norm minimization. In: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, pp. 3311-3315. ISBN 9781509041176

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/ICASSP.2017.7952769

Abstract

In this paper, we propose a solution to the sensor management problem over multiple time instances that balances the accuracy of the sensor network estimation with its utilization. We show how this problem reduces to a binary optimization problem for which we give a convex relaxation based solution that involves the minimization of a regularized ℓ∞ reweighted ℓ1 norm. We show experimentally the behavior of the proposed algorithm and compare it with previous methods from the literature.

Item Type: Book Section
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Divisions: School of Computing > Staff Research and Publications
Depositing User: Caoimhe Ní Mhaicín
Date Deposited: 02 Jul 2018 10:37
Last Modified: 02 Jul 2018 10:37
URI: https://norma.ncirl.ie/id/eprint/3030

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