The maximum Versoria criterion algorithm (MVC) exhibits lower steady-state misalignment
and less complexity as compared to the maximum correntropy criterion (MCC) algorithm in …

Active noise reduction in the existential of impulsive noise poses a serious challenge in a
distributed scenario. The conventional centralized multichannel active noise control (MANC) …

This paper proposes a new robust cost function, which combines the inverse hyperbolic sine
cost function and the generalized maximum correlation entropy. Based on this cost function …

To improve the robust characteristic and filtering accuracy of the traditional adaptive filtering
algorithms (AFAs) under censored regression (CR) model in impulsive interference …

Distributed adaptive filtering over networks can improve filtering performance by fusing
information from nodes within the same neighbor. In nonlinear estimation, adaptive filters …

This article presents a way to improve the Diffusion LMS algorithm in practical scenarios
while maintaining data privacy. It focuses on reducing external errors and ensuring accurate …

In recent years, the spotlight of research in the adaptive learning era has turned toward
distributed adaptive filtering algorithms for sparse systems over wireless sensor networks …

Distributed estimation algorithms, when based on the mean-square error criterion, often
encounter steady-state misalignment in scenarios where the adaptive network experiences …

Lately, an adaptive exponential functional link network (AEFLN) involving exponential terms
integrated with trigonometric functional expansion is being introduced as a linear-in-the …

Active noise control (ANC) techniques are an alternative for employing passive noise
reduction methods in real-world systems. Designing an ANC model across a network of …