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 …

Investigations into active noise control (ANC) have been widely conducted with the aim of
effective control of low-frequency noise. This paper proposes a novel nonlinear ANC system …

A new nonlinear filter, which employs an adaptive spline function as the basis function is
designed in this paper. The input signal to this filter is used to generate suitable parameters …

To reduce the computational burden of the generalized FLANN (GFLANN) filter for nonlinear
active noise control (NANC), a hierarchical partial update GFLANN (HPU-GFLANN) filter is …

The active noise control is the best approach to limit the low-frequency noise present in any
applications and also to estimate the signals, which are corrupted by interference or additive …

Abstract The Even Mirror Fourier (EMF) filter is the universal approximation for nonlinear
systems, which has been used in active noise control (ANC) applications, especially in …

Adaptive exponential functional link neural network (AeFLNN) based on functional link
architecture is a recently added member in the family of linear-in-parameter nonlinear filters …

In order to reduce the computational complexity for nonlinear Active Noise Control (ANC)
systems, we propose a filtered-x set membership with a time-varying error bound (Fx-SM …

An adaptive exponential functional link artificial neural network (AEFLANN) based active
noise control (ANC) system trained using a collaborative learning scheme has been …

In this paper, the multichannel even mirror Fourier nonlinear (EMFN) filter based filtered-x
least mean square (FFLMS) algorithm and filtered-error least mean square (FFELMS) …