Titlebook: Distributed Detection and Data Fusion; Pramod K. Varshney Book 1997 Springer Science+Business Media New York 1997 Signal.Topologie.data co

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The State of the Environment in Asian rules are derived. A number of special cases including conditionally independent local observations and identical detectors are considered. Efficient computational approaches are presented. Design of optimal parallel structures with dependent local observations is an NP-complete problem. This and

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https://doi.org/10.1007/978-1-349-05905-8ls are presented that reduce this requirement. Finally, a unified methodology is presented to represent any decentralized detection network structure. Decision rules are also obtained. This methodology is applicable to detection networks that include memory as well as feedback.

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https://doi.org/10.1007/978-1-349-05905-8decisions can still be combined using a fixed fusion rule. In Section 6.3, we consider a parallel fusion network consisting of . peripheral detectors and a fusion center. The local detectors send a sequence of summary messages to the fusion center where a sequential test is implemented. The fusion c

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https://doi.org/10.1007/978-1-349-05905-8ensions of the above work for the distributed detection problem. In Section 7.2, we discuss the design of distributed detection systems based on an information theoretic cost function. In Section 7.3, we present a brief summary of some asymptototic results on the performance of distributed detection

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Book 1997d relatively recently in technical journals. The level of presentation is such that the hook can be used as a graduate-level textbook. Numerous examples are presented throughout the book. It is assumed that the reader has been exposed to detection theory. The book will also serve as a useful referen

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as appeared relatively recently in technical journals. The level of presentation is such that the hook can be used as a graduate-level textbook. Numerous examples are presented throughout the book. It is assumed that the reader has been exposed to detection theory. The book will also serve as a useful referen978-1-4612-7333-2978-1-4612-1904-0

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Introduction,ors along with intelligence information while deciding whether or not to launch an offensive. In many applications, multiple decision makers arise naturally, e.g., managers in an industrial organization. In many other applications, additional decision makers are employed to improve system performanc

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