Adaptive filters are at the core of many signal processing applications, ranging from acoustic
noise supression to echo cancelation [1], array beamforming [2], channel equalization [3], to …

To acquire an improvement of the performance of the subband adaptive filter with impulsive
interference, the normalized subband adaptive filter (NSAF) algorithm-based maximum …

Recently, a new class of nonlinear adaptive filtering architectures has been introduced
based on the functional link adaptive filter (FLAF) model. Here we focus specifically on the …

Nonlinear (NL) and multilinear (ML) systems play a fundamental role in engineering and
science. Over the last two decades, active research has been carried out on exploiting the …

Modern-day digital hearing aids are prone to an unavoidable acoustic feedback
phenomenon, degrading sound quality and speech intelligibility. The linear adaptive …

In this work, a novel approach for nonlinear acoustic echo cancellation is proposed. The
main innovative idea of the proposed method is to model only the small region of the echo …

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 …

For the correlated input, the Volterra kernel-based least mean-square (LMS) algorithm in the
time-domain exhibits a slow learning rate caused by the large eigenvalue spread of the …

The functional link adaptive filter (FLAF) represents an effective solution for online nonlinear
modeling problems. In this paper, we take into account a FLAF-based architecture, which …

The Volterra model is widely used for nonlinearity identification in practical applications. In
this paper, we employed Volterra model to find the nonlinearity relation between …