Compressive sensing generally relies on the ℓ 2 norm for data fidelity, whereas in many
applications, robust estimators are needed. Among the scenarios in which robust …

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 …

Spectrum sensing is a challenging issue in cognitive radio network. In particular, wideband
spectrum sensing gains more attention due to emerging 5G wireless networks characterized …

The recent fast growth of the internet-of-vehicle (IoV) market has sparked interest in accurate
positioning using time-difference-of-arrival (TDOA) schemes. However, the rapid …

The time delay estimation (TDE) is an important and fundamental part in wireless
communication signal processing, which has been widely used in localization, intelligent …

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 …

In this paper, data-driven adaptive fractional order proportional integral (AFOPI) control is
presented for permanent magnet synchronous motor (PMSM) servo system perturbed by …

In order to solve the Direction of Arrival (DOA) estimation of fast-moving targets in a strong
noisy environment, an auto-paired two-dimensional (2D) DOA estimation algorithm …

In this paper, a novel adaptive time delay estimation (TDE) method under the existence of
amplitude attenuation is proposed for the impulsive noise environment. We present a closed …

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 …