Wireless electroencephalography (EEG) has emerged as a critical interface between human
cognitive processes and machine learning technologies in the burgeoning field of sensor …

In this article, we describe a general algorithmic framework for solving linear signal or
feature fusion optimization problems in a distributed setting, for example in a wireless sensor …

This article studies the convergence conditions and properties of the distributed adaptive
signal fusion (DASF) algorithm, the framework itself having been introduced in a 'Part …

Multi-view clustering is a widely-used technique that seeks to categorize data obtained from
various sources. As a representative method, multi-view fuzzy clustering has attracted …

Spatial filtering procedures aim to optimally fuse the different signals collected in a sensor
array, by exploiting their inter-channel correlations. If the sensors are physically distributed …

The distributed adaptive signal fusion (DASF) framework allows to solve spatial filtering
optimization problems in a distributed and adaptive fashion over a bandwidth-constrained …

INTRODUCTION: Although current research methods can realize the effective collection of
human physiological signals in the health monitoring system, they cannot obtain the ideal …

In order to overcome the problems of high bit error rate and high signal enhancement time in
weak signal enhancement methods, this paper proposes a weak signal enhancement …

A signal enhancement method of vehicle wireless sensor network (WSN) based on adaptive
filter is designed in this paper. By analyzing the vehicle WSN structure and node deployment …