Robust and Distributed Hypothesis Testing

Reports on novel schemes for minimax robust hypothesis testing and decentralized detection Provides tools for dealing with modeling errors and outliers Discusses applications to spectrum sensing, classification and forest fire detection Includes supplementary material: sn.pub/extras

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