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 extended Kalman filter (EKF) is a method extensively applied in many areas,
particularly, in nonlinear target tracking. The optimization criterion commonly used in EKF is …

The least mean square (LMS) algorithm of the graph signal processing (GSP) based on the
mean square error criterion has a poor reconstruction effect when the graph sampling signal …

The demand for good quality charging infrastructure is increasing rapidly as the number of
electric vehicles (EVs) are increasing day by day. Nowadays, the contribution of non …

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 …

The affine projection sign subband adaptive filter (AP-SSAF) was designed by utilizing the
most recent input samples to further enhance the performance of the traditional SSAF …

This paper analyzes the statistical behavior of the bias-compensated sign subband adaptive
filtering algorithm with individual-weighting-factors (BC-IWF-SSAF) under errors-in-variables …

To enhance the filtering accuracy of the traditional sign subband adaptive filter (SSAF)
algorithm and its individual-weighting-factors variant, this brief proposes the logarithmic …

Maximum correntropy criterion (MCC) has been widely adopted for parameter estimation in
the environment of non-Gaussian noise due to its robust characteristics to non-Gaussian …

For adaptive echo cancellation in hands-free communication systems, a family of bias-
compensated sparsityaware normalized least mean M-estimate (NLMM) algorithms is …