Distributed Detection and Data Fusion (Signal Processing and Data Fusion)

Varshney, Pramod K. K.

ISBN 10: 1461273331 ISBN 13: 9781461273332

Editorial: Springer, 2012

Idioma: Ingl�s

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Detalles bibliogr�ficos

T�tulo

Distributed Detection and Data Fusion (Signal Processing and Data Fusion)

Editor

Springer

Fecha de publicaci�n

2012

Idioma

Ingl�s

ISBN 10

1461273331

ISBN 13

9781461273332

Encuadernaci�n

Encuadernaci�n de tapa blanda

Estado

New

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Sinopsis

This book provides an introductory treatment of the fundamentals of decision-making in a distributed framework. Classical detection theory assumes that complete observations are available at a central processor for decision-making. More recently, many applications have been identified in which observations are processed in a distributed manner and decisions are made at the distributed processors, or processed data (compressed observations) are conveyed to a fusion center that makes the global decision. Conventional detection theory has been extended so that it can deal with such distributed detection problems. A unified treatment of recent advances in this new branch of statistical decision theory is presented. Distributed detection under different formulations and for a variety of detection network topologies is discussed. This material is not available in any other book and has 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 reference for practicing engineers and researchers. I have actively pursued research on distributed detection and data fusion over the last decade, which ultimately interested me in writing this book. Many individuals have played a key role in the completion of this book.

Rese�a del editor

This book provides an introduction to decision making in a distributed computational framework. When most computations were performed by a central processor, classical detection theory could assume that the processor could make decisions based on complete

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

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