Two novel spline adaptive filtering (SAF) algorithms are proposed by combining different
iterative gradient methods, ie, Adagrad and RMSProp, named SAF-Adagrad and SAF …

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 …

The present research produces a new technique for the optimum operation of an isolated
microgrid (MGD) based on an enhanced block-sparse adaptive Bayesian algorithm …

For targeted motion control tasks of manipulators, it is frequently necessary to make use of
full levels of joint actuation to guarantee successful motion planning and path tracking. Such …

In this brief, reference signal-based adaptive beamforming for vector sensor arrays
consisting of crossed dipoles is studied. In particular, we focus on how to reduce the number …

This article presents a novel enhanced block-sparse adaptive Bayesian algorithm (EBSABA)
to fully control proportional-integral (PI) controllers of superconducting magnetic energy …

In this brief, a novel adaptive filtering algorithm for block-sparse system identification called,
Block-Sparse Adaptive Bayesian Algorithm (BS-ABA) is proposed. We use a Gaussian …

This brief focuses on the development of a linear Kalman filtering algorithm when the control
input variable is corrupted by noises. The noisy input is considered in the derivation process …

Cancelling the effect of acoustic feedback is a challenging task in the design of a behind the
ear digital hearing aid. In traditional behind the ear digital hearing aids, feedback …

This paper proposes a bias-compensated normalized maximum correntropy criterion
(BCNMCC) algorithm charactered by its low steady-state misalignment for system …