@inproceedings{d215f0ed9144441eba7ba7dfb46e349c,
title = "Distributed Correlation Detection in Streaming Graph Signal",
abstract = "Change detection with streaming signal in a dis-tributed network is a fundamental yet vital research for lots of applications from epidemiology to target tracking. In this paper, this problem is addressed from the perspective of correlation evolution when change occurs locally yet diffuses in the net-work. We propose an online change detection algorithm that is completely distributed across nodes with online signal. This algorithm does not demand a high-level information interaction and is compatible in terms of change types. The correlation characteristic with graph filter and its performance in change detection are illustrated with simulation.",
keywords = "Change detection, distributed network, graph correlation, streaming signal",
author = "Xuandi Sun and Haiyan Wang and Xiaohong Shen and Fei Hua",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2022 ; Conference date: 20-06-2022 Through 23-06-2022",
year = "2022",
doi = "10.1109/SAM53842.2022.9827711",
language = "英语",
series = "Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop",
publisher = "IEEE Computer Society",
pages = "410--414",
booktitle = "2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop, SAM 2022",
}