Active noise control (ANC) is an effective way for reducing the noise level in electroacoustic
or electromechanical systems. Since its first introduction in 1936, this approach has been …

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 …

Filtered-x least mean square (FxLMS) control algorithm has been widely used for adaptive
noise and vibration control. Yet, classical FxLMS controller is not applicable for time-varying …

The weight-constrained filtered-x least mean square (CFxLMS) algorithm with a fixed
parameter shows slow convergence speed and weak noise reduction performance under …

Impulse noise (IN) can seriously degrade the performance of conventional active noise
control (ANC) algorithms. Here, we present a novel feedforward ANC algorithm based on an …

This paper provides a detailed overview of active impulsive noise control (AINC) technology
of α-stable distribution noise. The second-order moment of the non-Gaussian impulsive …

Conventional active noise control systems suffer from performance degradation when
exposed to impulsive interference. Taking the maximum Versoria criterion (MVC) function as …

In the presence of non-Gaussian impulsive noise (IN) with a heavy tail, active noise control
(ANC) algorithms often encounter stability problems. While adaptive filters based on the …

Impulsive noise is widely distributed in various scenarios and becomes an important
challenge for the practical applications of active noise control (ANC) system. The …

To investigate the nonlinear aeroservoelastic behaviors of a three-dimensional supersonic
aircraft with control fin free-play, a modeling method based on the component-mode …