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Theoretical Bounds in Minimax Decentralized Hypothesis Testing by Gül, Gökhan; Zoubir, Abdelhak M. is a scholarly article available to read on EtoBox.

What is Theoretical Bounds in Minimax Decentralized Hypothesis Testing about?

Minimax decentralized detection is studied under two scenarios: with and without a fusion center when the source of uncertainty is the Bayesian prior. When there is no fusion center, the constraints in the network design are determined. Both for a single decision maker and multiple decision makers, the maximum loss in detection performance due to minimax decision making is obtained. In the presence of a fusion center, the maximum loss of detection performance between with- and without fusion center networks is derived assuming that both networks are minimax robust. The results are finally generalized.

Author

Gül, Gökhan; Zoubir, Abdelhak M.

Published

2013

Language

EN