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 …

The filtered-x least mean square (FxLMS) algorithm has been proposed for an active noise
control (ANC) system. However, due to the used mean square error (MSE) criterion, FxLMS …

The random Fourier filter-based filtered-x least mean square (RF-FxLMS) algorithm has
been proposed for the nonlinear active noise control (NANC) system to reduce the …

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 …

In this paper a novel method is introduced based on the use of an unsupervised version of
kernel least mean square (KLMS) algorithm for solving ordinary differential equations …

In active noise control (ANC) systems, the primary path may exhibit nonlinear impulse
responses. Conventional linear ANC controllers based on a filtered-x least mean square …

A novel algorithm is developed based on fractional signal processing approach for
parameter estimation of input nonlinear control autoregressive (INCAR) models. The design …

This study presents a novel application of fractional adaptive algorithms for parameter
identification of Box–Jenkins (BJ) systems. The idea is to adapt the unknown parameter …

This dissertation focuses on the investigation and evaluation of adptive algorithms for
multichannel active noise control system. The aim of the research is to investigate the …

Although a various of existing techniques are able to improve the performance of detection
of the weak interesting signal, how to adaptively and efficiently attenuate the intricate noises …