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 …

Spline nonlinear adaptive filters are well known for their ability to efficiently model nonlinear
systems while having low computational complexity. However, the performance of traditional …

Two novel spline adaptive filtering (SAF) algorithms are proposed by combining different
iterative gradient methods, ie, Adagrad and RMSProp, named SAF-Adagrad and SAF …

In order to mitigate the interference of impulsive noises in the identification of Wiener-type
nonlinear systems using traditional spline adaptive filter (SAF) algorithm, an enhanced SAF …

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 …

In this paper, a new spline adaptive filter (SAF) used for identifying the nonlinear systems is
presented, in which a real-time over-sampling (RTOS) strategy is proposed in order to solve …

The paper addresses nonlinear identification using the Wiener series. Differently from the
traditional approach, the truncated Wiener series is expressed as a linear combination of …

In this chapter we propose a unifying overview of a recent class of nonlinear adaptive filters,
known as Spline Adaptive Filter (SAF). This family of nonlinear adaptive filters comes from …

In order to improve the convergence speed of the nonlinear spline adaptive filter (SAF) in the
identification of block-oriented systems, an interval variable step-size algorithm is proposed …

To reduce the interference of impulsive noise when the spline adaptive filter (SAF) algorithm
is used to identify nonlinear systems, this paper proposes a family of SAF algorithms using …