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The newly revised Second Edition of Inverse Synthetic Aperture Radar Imaging with …

It has been well understood that a given signal can be represented in an infinite number of
different ways. Different signal representations can be used for different applications. For …

This paper is a review of all methods that have been used in the literature for the solution of
a very important and challenging set of problems, namely electromagnetic scattering from …

The problem of all-weather noncooperative target recognition is of considerable interest to
both defense and civil aviation agencies. Furthermore, the discipline of radar inverse …

The method of matching pursuits utilizes a nonlinear iterative procedure to project a given
waveform onto a particular dictionary. For scattering problems, the most appropriate …

A new joint time-frequency inverse synthetic aperture radar (ISAR) algorithm that combines
ISAR processing with the joint time-frequency signal representation is presented as a means …

Radar-based imaging of aircraft targets is a topic that continues to attract a lot of attention,
particularly since these imaging methods have been recognized to be the foundation of any …

With the goal of characterizing jet engine inlets, a hybrid finite element-modal formulation is
presented for the analysis of cavities with complex terminations. The finite element method …

The deep learning-based target recognition methods have achieved great success in recent
years. The major advantage lies in the ability of learning the high-level representation from …

A hybrid algorithm that combines the finite-element time-domain (FETD) method and
generalized scattering matrix (GSM) technique is proposed to efficiently compute the …