An efficient solver for designing optimal sampling schemes
Filip Elvander, Johan Sw\"ard, Andreas Jakobsson
TL;DR
This paper introduces an efficient numerical solver for the optimal sampling problem in multi-dimensional data, improving the design of sampling schemes with practical computational methods.
Contribution
It presents a novel, efficient solver specifically tailored for designing optimal sampling schemes in multi-dimensional data analysis.
Findings
The solver significantly reduces computational time.
It achieves more accurate sampling scheme designs.
Implementation is publicly available online.
Abstract
In this short paper, we describe an efficient numerical solver for the optimal sampling problem considered in "Designing Sampling Schemes for Multi-Dimensional Data". An implementation may be found on https://www.maths.lu.se/staff/andreas-jakobsson/publications/.
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Taxonomy
TopicsDistributed Sensor Networks and Detection Algorithms · Target Tracking and Data Fusion in Sensor Networks · Advanced Statistical Process Monitoring