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

Nonlinear spline adaptive filters are a class of adaptive filters for modelling nonlinear
systems. To improve the convergence performance of existing nonlinear spline adaptive …

This paper proposed a normalised spline adaptive filtering algorithm to improve the stability
of spline adaptive filtering (SAF) algorithm against the eigenvalue spread of the …

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 the present work, integrated strength of backtracking search algorithm (BSA) and
sequential quadratic programming (SQP) is exploited for nonlinear active noise control …

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 …

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 …

This paper first proposes nonlinear spline adaptive filter based on the robust Geman-
McClure estimator (SAF-RGM). The proposed algorithm is obtained by minimizing the cost …

The exponential functional link network (EFLN) filter has attracted tremendous interest due
to its enhanced nonlinear modeling capability. However, the computational complexity will …