A two-dimensional maximum-entropy-based model for the source reconstruction in a monitoring network

  • Carlo Bianca
  • Rapha¨el Sasportas
  • Xavier Busch

Abstract

This paper deals with the derivation of a two-dimensional model within a new theoretical framework that has been recently proposed for the source localization into a domain where a network of detectors is arranged. Specifically the framework is based on the resolution of an inverse problem (source reconstruction) by employing the maximum Shannon entropy principle. The framework is proposed as a general paradigm for the derivation of a specific model and a sensitivity analysis on the detectors position is addressed. Further applications and research directions are also discussed into the last section of the paper.

Published
Feb 24, 2018
How to Cite
BIANCA, Carlo; SASPORTAS, Rapha¨el; BUSCH, Xavier. A two-dimensional maximum-entropy-based model for the source reconstruction in a monitoring network. Nonlinear Studies, [S.l.], v. 25, n. 1, p. 1-13, feb. 2018. ISSN 2153-4373. Available at: <http://nonlinearstudies.com/index.php/nonlinear/article/view/1653>. Date accessed: 18 aug. 2018.