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 …

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 …

Adaptive exponential functional link networks (AEFLN) are a type of linear-in-the-parameter
nonlinear filters, which have shown enhanced modeling capability for nonlinear systems …

Fractional calculus extends the scope of adaptive algorithms supporting the design of novel
fractional methods that outperform standard strategies in various applications arising in …

In this work, we study the combination of adaptive filters in colored noise environments. First,
a combination framework using delayed weights is introduced to tackle the colored noise …

Nonlinear models are known to provide excellent performance in real-world applications
that often operate in nonideal conditions. However, such applications often require online …

Functional link adaptive filters (FLAFs) utilize expansion blocks to nonlinearly augment the
input signal to a higher dimensional space, after which an adaptive weight algorithm is …

To process streaming signals on graph, some adaptive filtering methods have been
extended to the field of graph signal processing in recent years. However, nonlinear …

Nonlinear acoustic echo cancellation (NAEC) can be mainly addressed by solving two
different sub-problems: the estimation of the acoustic impulse response and the modeling 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 …