A large-scale dynamically weighted directed network (DWDN) involving numerous entities
and massive dynamic interaction is an essential data source in many big-data-related …

In this article, we address the problem of distributed detection of a noncooperative (unknown
emitted signal) target with a wireless sensor network. When the target is present, sensors …

A multiple distributed subarray (MDS) system usually transmits the raw data to the fusion
center (FC), where the target detection and localization can be processed. Transmitting raw …

In this paper we tackle distributed detection of a localized phenomenon of interest (POI)
whose signature is sparse via a wireless sensor network. We assume that both the position …

This paper considers the problem of distributed learning (DL) in the presence of stragglers.
For this problem, DL methods based on gradient coding have been widely investigated …

Multi-signal joint reconstruction is critical in distributed compressed sensing (DCS). We
propose a joint reconstruction algorithm for subspace pursuit of residual correlation steps to …

In this article, we tackle the problem of distributed detection of a radio source emitting a
signal. We consider that geographically distributed sensor nodes obtain energy …

面向低成本轻量级雷达的应用需求, 该文提出了一种联合单比特采样量化和时分复用接收机的
雷达信号收发框架. 首先, 通过介绍该框架的工作原理, 阐述其在节省接收机数量方面的优势 …

The distributed decision fusion algorithm for Wireless Sensor Networks (WSNs) is proposed
for contextual experience sensing and personalized recommendation in Ecommerce …

The over-the-air computation-based distributed decision fusion is studied for context-aware
wireless sensor networks (WSNs) under multiple-access channels (MAC) for personalized …