Data-driven modeling for wave-propagation

van Leeuwen, T., Van Leeuwen, P. J. and Zhuk, S. (2020) Data-driven modeling for wave-propagation. In: Numerical Mathematics and Advanced Applications ENUMATH 2019, 30 Sept- 4 Oct 2019, Egmond aan Zee, The Netherlands, pp. 683-691. doi: 10.1007/978-3-030-55874-1_67

Abstract/Summary

Many imaging modalities, such as ultrasound and radar, rely heavily on the ability to accurately model wave propagation. In most applications, the response of an object to an incident wave is recorded and the goal is to characterize the object in terms of its physical parameters (e.g., density or soundspeed). We can cast this as a joint parameter and state estimation problem. In particular, we consider the case where the inner problem of estimating the state is a weakly constrained dataassimilation problem. In this paper, we discuss a numerical method for solving this variational problem.

Item Type	Conference or Workshop Item (Paper)
URI	https://reading-clone.eprints-hosting.org/id/eprint/99534
Identification Number/DOI	10.1007/978-3-030-55874-1_67
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher	Springer
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