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 …

A linear-in-the-parameters nonlinear filter consists of a functional expansion block, which
expands the input signal to a higher dimensional space nonlinearly, followed by an adaptive …

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 …

This paper proposes a novel spline adaptive filtering (SAF) algorithm for nonlinear system
identification under impulsive noise environments. This algorithm combines the logarithmic …

Recently, an adaptive exponential trigonometric functional link neural network (AETFLN)
architecture has been introduced to enhance the nonlinear processing capability of the …

This paper presents a family of robust set-membership normalized subband adaptive
filtering (RSM-NSAF) algorithms for acoustic echo cancellation (AEC). By using a new robust …

The conventional active noise control (ANC) system relies on the error-correction learning to
design the adaptive controller. However, as the residual noise, the correction error is …

Active noise control (ANC) is gaining attention for attenuating noise from a remote location.
Considering the problem of nonlinear active noise control (NLANC) at a virtual location, a …

In many practical active noise control systems, the nonlinear secondary path (NSP) model
can offer broader applications than the linear secondary path (LSP) model for the …

Identification of nonlinear systems finds extensive applications in control design and stability
analysis. To identify complex nonlinear systems, the neural network has drawn the attention …