Variational mode decomposition (VMD), a recently introduced method for adaptive data
analysis, has aroused much attention in various fields. However, the VMD is formulated …

Frequency modulated continuous wave (FMCW) based millimeter wave (MMW) radar
systems have found widespread applications in advanced driving assistant system recently …

The extended coprime array (ECA) can detect a significantly larger number of targets
compared to the actual number of sensor elements. Considering the presence of impulse …

For airborne-phased array radar systems, space-time adaptive processing (STAP) is
supposed to be a crucial technique for improving target detection performance in the strong …

We propose a modified sequential quadratic programming method for solving the sparse
signal recovery problem. We start by going through the well-known smoothed-ℓ 0 technique …

In this letter, we consider the direction-of-arrival (DOA) estimation in the presence of
unknown mutual coupling in application to uniform linear arrays (ULAs). A novel method is …

Sparse recovery in the context of the inverse problem has become an enormously popular
technique in reconstructing various degraded images in various applications. One of the …

This paper is concerned with designing efficient algorithms for recovering sparse signals
from noisy underdetermined measurements. More precisely, we consider minimization of a …

Deep learning networks, emerging machine learning models that present beyond human-
level performance in terms of accuracy, are critically vulnerable to adversarial attacks. This …

Direction-of-arrival (DOA) estimation is a fundamental problem in many signal processing.
Recently, a variety of sparsity-aware methods have been proposed for DOA estimation. The …