An exhaustive review of adaptive signal processing schemes which are robust, sparsity-
aware and robust as well as sparsity-aware has been carried out in this paper. Conventional …

Distributed estimation strategies over wireless sensor networks are one of the active areas
of research due to the wide range of applications in a variety of fields ranging from …

A new affine projection sign algorithm (APSA) is proposed, which is robust against non-
Gaussian impulsive interferences and has fast convergence. The conventional affine …

An adaptive estimation algorithm based on the Lorentzian norm is proposed for echo
cancellation in vehicle hands-free communication systems and video teleconferencing …

A robust adaptive filtering algorithm based on the convex combination of two adaptive filters
under the maximum correntropy criterion (MCC) is proposed. Compared with conventional …

In the case where the measurement noise involves impulsive interference, distributed
estimation algorithms based on the mean-square error (MSE) criterion may suffer from …

We propose a new variable step-size diffusion least mean square algorithm for distributed
estimation that adaptively adjusts the step-size in every iteration. For a network application …

This work develops robust diffusion recursive least-squares algorithms to mitigate the
performance degradation often experienced in networks of agents in the presence of …

This article studies the mean and mean-square behaviors of the M-estimate based
normalized subband adaptive filter algorithm (M-NSAF) with robustness against impulsive …

The maximum correntropy criterion (MCC) algorithm has attracted much attention due to its
capability of combating impulsive noise. However, its performance depends on choice of the …