Structural damage identification has received considerable attention during the past
decades. Although several reviews have been presented, some new developments have …

As a paradigm to recover the sparse signal from a small set of linear measurements,
compressed sensing (CS) has stimulated a great deal of interest in recent years. In order to …

A coprime array uses two uniform linear subarrays to construct an effective difference
coarray with certain desirable characteristics, such as a high number of degrees-of-freedom …

Abstract The Human Connectome Project (HCP) relies primarily on three complementary
magnetic resonance (MR) methods. These are: 1) resting state functional MR imaging …

Abstract Direction-of-arrival (DOA) estimation refers to the process of retrieving the direction
information of several electromagnetic waves/sources from the outputs of a number of …

Compressed sensing (CS) is an emerging field that has attracted considerable research
interest over the past few years. Previous review articles in CS limit their scope to standard …

Several problems arising in electromagnetics can be directly formulated or suitably recast for
an effective solution within the compressive sensing (CS) framework. This has motivated a …

Discovering governing physical laws from noisy data is a grand challenge in many science
and engineering research areas. We present a new approach to data-driven discovery of …

In this paper, we model the components of the compressive sensing (CS) problem, ie, the
signal acquisition process, the unknown signal coefficients and the model parameters for the …

Automatic target recognition (ATR) for military applications is one of the core processes
toward enhancing intelligence and autonomously operating military platforms. Spurred by …