An exhaustive review of adaptive signal processing schemes which are robust, sparsity-
aware and robust as well as sparsity-aware has been carried out in this paper. Conventional …

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 …

Although construction noise pollution has always been a severe issue for governments in
metropolitan cities, there is no effective and practical solution to control it. Due to the high …

Traditional multi-channel active noise control (MCANC) is based on adaptive filtering and
usually uses a separate control unit for each channel. This paper introduces a deep learning …

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 …

The feedforward active noise control (FF ANC) technique has been widely used to cancel
the broadband noise in many practical applications. However, it fails to cope with the …

For the problem of low-frequency noise suppression in a large area of the vehicle space, this
paper proposes a novel multi-channel fractional-order active noise control algorithm and …

The filtered-s maximum correntropy criterion (FsMCC) algorithm was developed for
nonlinear active noise control (NANC) in impulsive noise environments with the use of …

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

Spline adaptive filter (SAF) is a kind of simple and effective nonlinear system online
identification method. When the length of FIR filter, which represents the linear sub-model, is …