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 …

In this paper, a least lncosh (Llncosh) algorithm is derived by utilizing the lncosh cost
function. The lncosh cost is characterized by the natural logarithm of hyperbolic cosine …

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 …

In this brief, an improved maximum correntropy criterion subband adaptive filter (MCC-SAF)
algorithm is presented, which has excellent performance for alleviating the effect of …

In this brief, an affine-projection-like M-estimate (APLM) algorithm is proposed for robust
adaptive filtering. To eliminate the adverse effects of impulsive noise in case of the impulse …

The problem of sparse adaptive system identification such as acoustic echo cancellation
(AEC) needs robust adaptive filtering algorithms in the situation where the system is often …

In many applications, the constrained adaptive filtering algorithm has been widely studied.
The classical constrained LMS algorithm is widely used because of its low computational …

This paper presents a family of robust set-membership normalized subband adaptive
filtering (RSM-NSAF) algorithms for acoustic echo cancellation (AEC). By using a new robust …

A bias-compensated normalized subband adaptive filter (BC-NSAF) algorithm is proposed
for system identification. In the proposed algorithm, a bias-compensation vector is derived to …

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