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 …

Modern systems for acoustic man-machine communication, such as teleconferencing
equipment or speech dialog systems, will have to provide hands-free voice interfaces with …

In this letter, we introduce a novel approach for nonlinear acoustic echo cancellation. The
proposed approach uses the principle of transfer learning to train a neural network that …

Because of the high computational burden required by adaptive Volterra filters, several of
their practical implementations consider some type of sparseness for complexity reduction …

The diffusion subband adaptive filtering algorithm has faster convergence rate than the
diffusion least mean square algorithm. In the case where the measurement noise includes …

A method for adaptively minimizing the lp norm relying on the convex combination of two
recursive least p-norm (RLpN) filters is presented. The approach is of interest when the …

Autonomous systems (ASs) operating in real-world environments are exposed to a plurality
and diversity of sounds that carry a wealth of information for perception in cognitive dynamic …

In this letter, a novel diffusion Volterra (DV) algorithm is proposed for distributed in-network
system identification in the presence of α-stable noise. The proposed algorithm is based on …

This paper presents a novel scheme for nonlinear acoustic echo cancellation based on
adaptive Volterra Filters with linear and quadratic kernels, which automatically prefers those …

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 …