Computational Methods for Electromagnetic Inverse Scattering

By Xudong Chen. 2018

482 citations recorded by the source corpus.

A comprehensive and updated overview of the theory, algorithms and applications of for electromagnetic inverse scattering problems • Offers the recent and most important advances in inverse scattering grounded in fundamental theory, algorithms and practical engineering applications • Covers the latest, most relevant inverse scattering techniques like signal subspace methods, time reversal, linear sampling, qualitative methods, compressive sensing, and noniterative methods • Emphasizes theory, mathematical derivation and physical insights of various inverse scattering problems • Written by a leading expert in the field

Subfields: Atomic and Molecular Physics, and Optics

View Paper: https://www.semanticscholar.org/paper/3957e8f1ac17b448e97cd5956f6b47d6e039bb45

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In Atomic and Molecular Physics, and Optics

1. Zhun Wei
2. Xudong Chen

Citations in the corpus

• Deep-Learning Schemes for Full-Wave Nonlinear Inverse Scattering Problems (2019, methodology): “5 and 2 are considered, which means that the effects of multiple scattering become stronger than those of the first example and consequently the nonlinearity of the ISP is increased [26].”