In the case where the measurement noise involves impulsive interference, distributed
estimation algorithms based on the mean-square error (MSE) criterion may suffer from …

Mitigating low-frequency noise in various industrial applications often involves the use of the
filter-x least mean squares (FxLMS) algorithm, which relies on the mean square error …

This paper presents a new sign subband adaptive filter (SSAF) algorithm with an individual-
weighting-factor (IWF) for each subband, instead of a common weighting factor in the …

Abstract The Least lncosh (Llncosh) algorithm is a promising adaptive algorithm due to its
robustness in impulsive interference and has a faster convergence rate than the classical …

In this brief, we propose a new diffusion normalized maximum Versoria criterion (d-NMVC)
algorithm, which is based on maximization of the normalized maximum Versoria criterion …

This paper proposes robust diffusion maximum versoria criterion algorithms to enhance the
performance of the distributed estimation in a network of agents under impulsive noise …

Recently, the sign subband adaptive filter (SSAF) algorithm has obtained great attention,
due to its robustness against impulsive noises and decorrelating property for correlated …

The adaptive variable step-size technique is an effective way to improve the convergence
rate of an adaptive filtering algorithm. However, for most existing variable step-size sign …

The classical sign algorithm (SA) has been widely used in adaptive filters due to its low
computational complexity and robustness against impulsive noise. In some applications the …

To improve the performance of the diffusion Huber-based normalized least mean square
algorithm in the presence of impulsive noise, this paper proposes a distributed recursion …