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- W2105111713 abstract "A computationally efficient approach to the design of decentralized Bayesian detection systems is presented. This procedure is based on an alternate representation of the minimum average cost in terms of a modified form of the Kolmogorov variational distance. The utility of the approach is demonstrated by applying it to the design and performance evaluation of three decentralized detection structures. In all these structures, the design of the optimum systems reduces to the optimization of a single function of a certain number of variables. Numerical examples are presented for illustration.< <ETX xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>></ETX>" @default.
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- W2105111713 title "An approach to the design of distributed Bayesian detection structures" @default.
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