To achieve good estimation in the impulsive noise environment, some hyperbolic functions
have been introduced as cost functions to develop robust adaptive filtering algorithms in …

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 …

The performance of conventional active noise control (ANC) systems degrades under non-
Gaussian conditions. In the recent past, generalized filtered-x maximum correntropy criterion …

This paper proposes a novel augmented space robust adaptive filter by reusing the errors
for online applications. First, a batched augmented space constrained model (ASCM) is …

The affine projection sign algorithm (APSA) is widely used to alleviate the impact of
impulsive noise on weight updates for adaptive filters. When using the conventional APSA …

In recent years, algorithms based on the Maximum Versoria Criterion (MVC) and a relative
logarithmic cost function have gained the attention of researchers because they improve the …

Acoustic feedback is a common and persistent issue in hearing aids, which can lead to
limitations in the achievable amplification and significant degradation in sound quality …

This article develops a subband Hammerstein spline adaptive filtering (SHSAF) algorithm
with the exponential hyperbolic cosine (EHC) cost to acquire robustness against non …

Spline prioritization optimization adaptive filter (SPOAF) based on maximum Versoria
criterion (MVC), named SPOAF-MVC, is renowned for its excellent robustness and low …

The problem of sparse adaptive system identification such as acoustic echo cancellation
(AEC) needs robust adaptive filtering algorithms in the situation where the system is often …