Abstract
The decentralized Bayesian detection problem is considered. Some of the design aspects and an analysis of the optimum minimum-cost system are presented. The design of the optimum system is based on an alternate representation of the minimum achievable cost. Using this representation the design of the decentralized Bayesian problem reduces to the optimization of a single function of n variables, thus avoiding the exponential dependence of the cost on the number of variables. The cases of nonidentical as well as identical detectors are treated. Several numerical examples are included.
Original language | English (US) |
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Title of host publication | Proc 90 Int Conf Syst Eng |
Publisher | IEEE Computer Society |
Pages | 186-189 |
Number of pages | 4 |
State | Published - 1990 |
Event | Proceedings of the 1990 IEEE International Conference on Systems Engineering - Pittsburgh, PA, USA Duration: Aug 9 1990 → Aug 11 1990 |
Other
Other | Proceedings of the 1990 IEEE International Conference on Systems Engineering |
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City | Pittsburgh, PA, USA |
Period | 8/9/90 → 8/11/90 |
ASJC Scopus subject areas
- General Engineering