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 …

Adaptive exponential functional link network (AEFLN) is a recently introduced linear-in-the-
parameters nonlinear filter. In an attempt to improve the performance of AEFLN, an improved …

The exponential functional link network (EFLN) has been recently investigated and applied
to nonlinear filtering. This brief proposes an adaptive EFLN filtering algorithm based on a …

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

Linear-in-the-parameters nonlinear controllers are widely used for active noise cancellation
(ANC) in the presence of nonlinearities in the system. However, the performance of such …

In order to increase the nonlinear fitting performance of functional link neural network
(FLNN), a novel chebyshev functional link spline neural filter (CFLSNF) to apply in system …

To mitigate the impact of shot noise on the parameter measurement process of finite rate of
innovation (FRI) signals, this article proposes a sub-Nyquist modulation sampling system …

Recently, the nearest Kronecker product (NKP) decomposition has become popular in
several adaptive filtering (AF) applications owing to its fast convergence and tracking ability …

Several adaptive filters have recently incorporated the Maximum Versoria criteria (MVC) and
Blake Zisserman techniques to demonstrate their resilience to impulsive noise and non …