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Optimal Sampling and Scheduling for Remote Fusion Estimation of Correlated Wiener Processes
In distributed sensor networks, sensors often observe a dynamic process within overlapping regions. Due to random delays, these correlated observations arrive at the fusion center asynchronously, raising a central question: How can one fuse asynchronous yet correlated information for accurate remote
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