Beamforming is a signal processing technique to steer, shape, and focus an electromagnetic
(EM) wave using an array of sensors toward a desired direction. It has been used in many …

This paper addresses the issue of robust sparse recovery in compressive sensing (CS) in
the presence of impulsive measurement noise. Recently, robust data-fitting models, such as …

Coherent plane-wave compounding (CPWC) is a widely used technique in medical
ultrasound imaging due to its high frame rate property. It is well-known that increasing the …

Due to the good filter performance for the non-Gaussian noise, the adaptive filters with error
nonlinearities have received increasing attention recently. From the viewpoint of the …

Unmanned aerial vehicle (UAV) has been widely used in various fields, which mainly relies
on global navigation satellite system (GNSS) to obtain position information. However, fast …

Lamb wave is a promising means for active structural health monitoring and nondestructive
evaluation of laminated composite plates. The inevitable reflections from structural …

Traditional beamforming (BF) methods can be used to suppress the Gaussian interferers in
underwater acoustic communication systems. However, multiple unsteady sub-Gaussian …

Most of the existing Beamforming methods are based on the assumptions that the sources
are all point sources and the angular separation between the direction of arrival (DOA) of the …

The edge point errors, especially outliers, introduced in the edge detection step, will cause
severe performance degradation in ellipse fitting. To address this problem, we adopt the ℓ p …

This paper investigates a smoothing neural network (SNN) to solve a robust sparse signal
reconstruction in compressed sensing (CS), where the objective function is nonsmooth l 1 …