Part I of this paper reviewed the development of the linear active noise control (ANC)
technique in the past decade. However, ANC systems might have to deal with some …

This paper presents a comparison of contemporary algorithms aimed at mitigating the
saturation-induced challenges in active noise control (ANC) systems. The saturation effect …

The Volterra filter is proven to be a structurally simple method for nonlinear active noise
control (NLANC). However, its wide application is deeply constrained by computational …

Spline nonlinear adaptive filters are well known for their ability to efficiently model nonlinear
systems while having low computational complexity. However, the performance of traditional …

Nonlinear active noise control (NLANC) is always a challenge in algorithm design. Most of
the NLANC algorithms are based on the linear-in-the-parameters (LIP) filters, and no work is …

Correntropy has recently attracted great attention because of its robustness to non-Gaussian
noise. Inspired by this robustness property, a spline adaptive filtering algorithm based on the …

In order to mitigate the interference of impulsive noises in the identification of Wiener-type
nonlinear systems using traditional spline adaptive filter (SAF) algorithm, an enhanced SAF …

The nonlinear adaptive exponential functional link artificial neural networks (E-FLANN) filter
has been introduced to improve the noise reduction capability of the functional link artificial …

This paper presents a non-linear multi-channel active noise control (ANC) scheme based on
a set of adaptive spline filters as the component controllers. An adaptive spline filter …

As one of the most commonly used nonlinear active noise control (NANC) algorithms, the
filtered-s least mean square (FsLMS) algorithm outperforms the conventional filtered-x least …