Compressive sensing is a framework for acquiring sparse signals at sub-Nyquist rates. Once
compressively acquired, many signals need to be processed using advanced techniques …

Optimally extracting the advantages available from reconfigurable intelligent surfaces (RISs)
in wireless communications systems requires estimation of the channels to and from the RIS …

Modern radar systems tend to utilize high bandwidth, which requires high sampling rate, and
in many cases, these systems involve phased array configurations with a large number of …

In this article, we address the bearing-only formation control problem of 3-D networked
robotic systems with parametric uncertainties. The contributions of this article are two-fold: 1) …

Direction of arrival (DOA) estimation in array processing using uniform/sparse linear arrays
is concerned in this paper. While sparse methods via approximate parameter discretization …

In this article, we consider the formation tracking problem of nonholonomic multiagent
systems only using relative bearing measurements between the agents. Such a practical …

Random stepped frequency (RSF) radar, which transmits random-frequency pulses, can
suppress the range ambiguity, improve convert detection, and possess excellent electronic …

Intelligent transportation systems (ITSs) of industrial systems have played an important role
in Internet of things (IOT). The assistant calibration system (ACS) of vehicles is an emerging …

Anomaly detection is an active area of research in hyperspectral information processing.
Recently, low-rank representation has been applied in hyperspectral anomaly detection …

In this paper we investigate the design of compressive antenna arrays for narrow-band
direction of arrival (DOA) estimation that aim to provide a larger aperture with a reduced …