In this paper, we propose a novel normalized least mean squares (NLMS) algorithm for
system identification applications. Our approach involves analyzing the mean squared …

A new multitask incremental least mean-square (MILMS) algorithm using orthonormal codes
is developed. In the multitask topology, nodes belong to different clusters, with each cluster …

The family of least mean square (LMS) based adaptive filtering algorithms suffers from
convergence performance limitation due to the sensitivity of such algorithms to the …

Underwater acoustic channels often have to face the interference of impulsive noise, which
is usually modeled by α-stable distribution in simulation experiments. To solve the problem …

In the errors-in-variables (EIV) model, the steady state characteristics of the affine-projection-
like (APL) algorithm are poor. Hence, the total least squares APL (TLS-APL) algorithm …

Limited by fixed step-size and sparsity penalty factor, the conventional sparsity-aware
normalized subband adaptive filtering (NSAF) type algorithms suffer from trade-off …

This paper proposes an active noise control (ANC) algorithm that enable to use in a sparse
system environment, An adaptive filter, which is one of the methods for estimating the …

To overcome the effect of impulsive noise on physical systems an algorithm was developed
in the past using an improved proportionate maximum correntropy criterion (IPMCC) based …