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Chen X. Computational Methods for Electromagnetic Inverse Scattering

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Chen X. Computational Methods for Electromagnetic Inverse Scattering
Wiley, 2018. — 326 p. — ISBN: 1119311985.
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, Numerical Methods for Electromagnetic Inverse Scattering is an essential reference for researchers in electrical engineering, physics and applied mathematics. Graduate students and practicing engineers specializing in areas like remote sensing, military surveillance, biomedical diagnosis, nondestructive testing/evaluation, and oil exploration would also find it an insightful guide.
Fundamentals of Electromagnetic Wave Theory
Time-Reversal Imaging
Inverse Scattering Problems of Small Scatterers
Linear Sampling Method
Reconstructing Dielectric Scatterers
Reconstructing Perfect Electric Conductors
Inversion for Phaseless Data
Inversion with an Inhomogeneous Background Medium
Resolution of Computational Imaging
Appendices
Ill-Posed Problems and Regularization
Least Squares
Conjugate GradientMethod
Matrix-Vector Product by the FFT Procedure
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