Objective. The electroencephalogram (EEG) is an essential neuro-monitoring tool for both
clinical and research purposes, but is susceptible to a wide variety of undesired artifacts …

Unlike traditional homogeneous single-task wireless sensor networks (WSNs),
heterogeneous and multitask WSNs allow the cooperation among multiple heterogeneous …

In this paper, we present a distributed affine projection (AP) algorithm for an acoustic sensor
network where the nodes are acoustically coupled. Every acoustic node is composed of a …

Objective. Measurement of the cortical tracking of continuous speech from
electroencephalography (EEG) recordings using a forward model is an important tool in …

In the past two decades, wireless sensor networks (WSNs) and their applications have been
the topic of many studies. Different multi-sensor nodes are used to collect, process and …

Diffusion adaptation techniques have shown great promise in addressing the problem of
node-specific distributed estimation where the nodes in the network are interested in …

We consider a multi-task wireless sensor network (WSN) where some of the nodes aim at
applying a multi-channel Wiener filter to denoise their local sensor signals, whereas others …

Sampling rate offsets (SROs) between devices in a heterogeneous wireless acoustic sensor
network (WASN) can hinder the ability of distributed adaptive algorithms to perform as …

Distributed noise reduction is a challenging task in acoustic sensor networks (ASNs). To
address the problem, a distributed parameterized topology-independent noise reduction …

The performance of most array signal processing tasks relies on the presence of correlation
between sensor signals. In a wireless sensor network, where sensor nodes are spread out …