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- W4286569342 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." @default.
- W4286569342 created "2022-07-22" @default.
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- W4286569342 date "2022-06-20" @default.
- W4286569342 modified "2023-09-27" @default.
- W4286569342 title "Distributed Correlation Detection in Streaming Graph Signal" @default.
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- W4286569342 doi "https://doi.org/10.1109/sam53842.2022.9827711" @default.
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