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This paper studies local data fusion for sequential detection. Let a sensor network monitor a Gaussian phenomenon in Gaussian background noise, and let the observation of each sensor be a vector r. In order to reduce the communication burden, each sensor reports a linearly fused scalar x=wT r instead of the raw data r to a processing center, which executes sequential detection. The aim of this paper...
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