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 …

Adaptive filters are at the core of many signal processing applications, ranging from acoustic
noise supression to echo cancelation [1], array beamforming [2], channel equalization [3], to …

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 …

This brief proposes a combined-step-size (CSS) affine projection sign algorithm (APSA) to
improve the poor tracking capability of the conventional variable-step-size APSA. To achieve …

A kernel affine projection-like algorithm (KAPLA) is proposed in reproducing kernel Hilbert
space in non-Gaussian environments. The cost function for the developed algorithm is …

In this paper, a generalized maximum correntropy normalized subband adaptive filter
(GMCNSAF) algorithm is proposed for enhancing the convergence behavior of generalized …

In this article, a solar photo voltaic (PV) array and a storage battery integrated three phase
electric vehicle charging station (EVCS) is presented, which uses a convex combined affine …

In this brief, a parallel kernel data-reusing maximum correntropy (PKDRMC) algorithm is
proposed within the framework of nonlinear adaptive filtering. The PKDRMC algorithm …

In this paper, a kernel recursive maximum Versoria-like criterion (KRMVLC) algorithm has
been constructed, derived, and analyzed within the framework of nonlinear adaptive filtering …

In the field of signal processing such as system identification, the affine projection algorithm
(APA) is extensively implemented. However, running such algorithms in a non-Gaussian …