A Sampling Framework for Solving Physics-Driven Inverse Source Problems

@article{MurrayBruce2017ASF,
  title={A Sampling Framework for Solving Physics-Driven Inverse Source Problems},
  author={John Murray-Bruce and Pier Luigi Dragotti},
  journal={IEEE Transactions on Signal Processing},
  year={2017},
  volume={65},
  pages={6365-6380}
}
Partial differential equations are central to describing many physical phenomena. In many applications, these phenomena are observed through a sensor network, with the aim of inferring their underlying properties. Leveraging from certain results in sampling and approximation theory, we present a new framework for solving a class of inverse source problems… CONTINUE READING