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

Varshney, Pramod K. K.

 
9781461273332: Distributed Detection and Data Fusion (Signal Processing and Data Fusion)

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

Aditya Vempaty received the B. Tech degree in Electrical Engineering from the Indian Institute of Technology, Kanpur, India, in 2011, and the PhD degree in Electrical Engineering and Computer Science from Syracuse University, in 2015. Since August 2015, he is a Research Staff Member at the IBM Thomas J. Watson Research Center, Yorktown Heights, NY. His research interests include human-machine inference networks, behavioral analytics, statistical signal processing, and network security. He received the All University Doctoral Prize 2016 by Syracuse University for superior achievement in completed dissertations. Bhavya Kailkhura is a Postdoctoral Researcher at the Lawrence Livermore National Labs, Livermore, CA. His research interests include high dimensional data analytics, robust statistics & control, and machine learning. He was the runner-up for "Best Student Paper Award" at IEEE Asilomar Conf. on Signals, Systems & Computers, 2014 and a SPS travel grant awardrecipient. He received the All University Doctoral Prize 2017 by Syracuse University for superior achievement in completed dissertations. Pramod K. Varshney is a Distinguished Professor of Electrical Engineering and Computer Science and the Director of the Center for Advanced Systems and Engineering at Syracuse University, Syracuse, NY. His current research interests include distributed sensor networks and data fusion, detection and estimation theory, wireless communications, image processing, radar signal processing, and remote sensing. He is the author of Distributed Detection and Data Fusion (Springer-Verlag, 1997). He was a James Scholar, a Bronze Tablet Senior, and a Fellow while at the University of Illinois. He is a Member of Tau Beta Pi and received the 1981 ASEE Dow Outstanding Young Faculty Award. He was elected to the grade of Fellow of the IEEE in 1997 for his contributions in the area of distributed detection and data fusion. He was the Guest Editor ofthe Special Issue on Data Fusion of the PROCEEDINGS OF THE IEEE, January 1997. In 2000, he received the Third Millennium Medal from the IEEE and Chancellor's Citation for exceptional academic achievement at Syracuse University. He received the IEEE 2012 Judith A. Resnik Award, Doctor of Engineering Honoris Causa from Drexel University in 2014, and the ECE Distinguished Alumni Award from the University of Illinois in 2015. He is on the Editorial Boards of the Journal on Advances in Information Fusion and the IEEE Signal Processing Magazine. He was the President of the International Society of Information Fusion during 2001.

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