Journal article
Hardware complexity of binary distributed detection systems with isolated local Bayesian detectors
IEEE transactions on systems, man, and cybernetics, v 21(3), pp 565-571
May 1991
Abstract
The authors have devised a simple suboptimal decentralized binary detection system where each local detector independently, and the data function center, are minimizing Bayesian risks (not necessarily identical). They compare the hardware volume of a system with identical local risks to that of an optimal centralized system which minimizes the same global risk for several mathematically tractable cases. The results can be used by designers of distributed detection systems (even less restricted than the ones that the authors consider in this work) to obtain upper bounds on the number of (decentralized) detectors which are required in order to guarantee prespecified performance.< >
Metrics
Details
- Title
- Hardware complexity of binary distributed detection systems with isolated local Bayesian detectors
- Creators
- M Kam - Drexel UniversityW Chang - Drexel UniversityQ Zhu - Drexel University
- Publication Details
- IEEE transactions on systems, man, and cybernetics, v 21(3), pp 565-571
- Publisher
- IEEE
- Resource Type
- Journal article
- Language
- English
- Web of Science ID
- WOS:A1991GJ60000007
- Scopus ID
- 2-s2.0-0026153134
- Other Identifier
- 991019346720604721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Cybernetics
- Engineering, Electrical & Electronic