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 …

The hyperbolic cosine function with high-order errors can be utilized to improve the accuracy
of adaptive filters. However, when initial weight errors are large, the hyperbolic cosine …

Employing the traditional least-mean-square (LMS) algorithm to estimate the weight vector
of an unknown system will result in an estimation bias when the input signal of the adaptive …

This brief proposes a unified sparsity-aware robust normalized subband adaptive filtering
(SA-RNSAF) algorithm for identification of sparse systems under impulsive noises. The …

In this paper, we propose and analyze the sparsity-aware sign subband adaptive filtering
with individual weighting factors (S-IWF-SSAF) algorithm, and consider its application in …

This paper investigates the M-estimate affine projection spline adaptive filtering (MAPSAF)
algorithm, which utilizes a modified Huber function with robustness against impulsive …

Although the multiband-structured subband adaptive filter (MSAF) and its convergence
analysis have been widely studied, the existing analyses are carried out only in the …

This paper proposes a robust normalized subband adaptive filter (RNSAF) algorithm, which
has robust performance for impulsive noise environments and noisy inputs. Although the M …

In this paper, we propose a novel normalized subband adaptive filter algorithm suited for
sparse scenarios, which combines the proportionate and sparsity-aware mechanisms. The …

The adaptive exponential functional link network (AEFLN) is a recently introduced novel
linear-in-the-parameters nonlinear filter and is used in numerous nonlinear applications …