Achieving a fair balance between accuracy and computational complexity of limited measurement
signals by algorithms for the bistatic multiple-input multiple-output (MIMO) radar under …

Optimization problems can be seen in numerous fields of practical studies. One area making
waves in the application of optimization methods is data mining in machine learning. An …

Gray level transformation is a significant part of image enhancement techniques which deal
with images composed of pixels. The outcomes of this process can be either images or a set …

In order to address the off‐grid angular estimation of direction of departure and direction of
arrival of a target for bistatic multiple‐input multiple‐output radar, a novel method involving …

From the last decade, even though there have been sudden advances in present technology
in all areas, there exist some real-world NP composite problems that still escape scientists. …

Photonics-assisted analog-to-digital converters could be a solution to the bandwidth limitations
faced by electronic analog-to-digital converters (EADCs) in today’s wireless networks …

The development of high-resolution methods that can withstand unpleasant radar conditions
for target localization is challenging. In this paper, a novel dynamic subspace method to …

Uniformly distributed white noise is often the desirable noise assumption for partly calibrated
subarray‐based radar systems. However, this assumption may practically not always be …

We discuss a new method for detecting high-bandwidth wireless signals with low-bandwidth
electronics. We experimentally demonstrate the detection of 24 GBd-QPSK Nyquist data with …

In this paper, a robust angle estimator for uncorrelated targets that employs a compressed
sense (CS) scheme following a fast greedy (FG) computation is proposed to achieve improved …