Computational Methods for Electromagnetic Inverse Scattering Synopsis
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
