Optimal Quantization And Fusion In Multi Sensor Systems For The Detection Of Weak Signals In Dependent Noise PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Optimal Quantization And Fusion In Multi Sensor Systems For The Detection Of Weak Signals In Dependent Noise PDF full book. Access full book title Optimal Quantization And Fusion In Multi Sensor Systems For The Detection Of Weak Signals In Dependent Noise.
Author | : Yawgeng A. Chau |
Publisher | : |
Total Pages | : 28 |
Release | : 1989 |
Genre | : Geometric quantization |
ISBN | : |
Download Optimal Quantization and Fusion in Multi-sensor Systems for the Detection of Weak Signals in Dependent Noise Book in PDF, ePub and Kindle
Author | : Y. A. Chau |
Publisher | : |
Total Pages | : 63 |
Release | : 1991 |
Genre | : |
ISBN | : |
Download Quantization and Fusion for Multi-sensor Discrimination from Dependent Observations Book in PDF, ePub and Kindle
Author | : Y. A. Chau |
Publisher | : |
Total Pages | : 57 |
Release | : 1991 |
Genre | : |
ISBN | : |
Download Multi-sensor Correlation and Quantization in Distributed Detection Systems Book in PDF, ePub and Kindle
Author | : |
Publisher | : |
Total Pages | : 652 |
Release | : 1996 |
Genre | : Electrical engineering |
ISBN | : |
Download Proceedings of the ... Conference on Information Sciences and Systems Book in PDF, ePub and Kindle
Author | : Martin Liggins II |
Publisher | : CRC Press |
Total Pages | : 872 |
Release | : 2017-01-06 |
Genre | : Technology & Engineering |
ISBN | : 1420053094 |
Download Handbook of Multisensor Data Fusion Book in PDF, ePub and Kindle
In the years since the bestselling first edition, fusion research and applications have adapted to service-oriented architectures and pushed the boundaries of situational modeling in human behavior, expanding into fields such as chemical and biological sensing, crisis management, and intelligent buildings. Handbook of Multisensor Data Fusion: Theory and Practice, Second Edition represents the most current concepts and theory as information fusion expands into the realm of network-centric architectures. It reflects new developments in distributed and detection fusion, situation and impact awareness in complex applications, and human cognitive concepts. With contributions from the world’s leading fusion experts, this second edition expands to 31 chapters covering the fundamental theory and cutting-edge developments that are driving this field. New to the Second Edition— · Applications in electromagnetic systems and chemical and biological sensors · Army command and combat identification techniques · Techniques for automated reasoning · Advances in Kalman filtering · Fusion in a network centric environment · Service-oriented architecture concepts · Intelligent agents for improved decision making · Commercial off-the-shelf (COTS) software tools From basic information to state-of-the-art theories, this second edition continues to be a unique, comprehensive, and up-to-date resource for data fusion systems designers.
Author | : Liping Yan |
Publisher | : Springer Nature |
Total Pages | : 229 |
Release | : 2020-11-11 |
Genre | : Technology & Engineering |
ISBN | : 9811594260 |
Download Multisensor Fusion Estimation Theory and Application Book in PDF, ePub and Kindle
This book focuses on the basic theory and methods of multisensor data fusion state estimation and its application. It consists of four parts with 12 chapters. In Part I, the basic framework and methods of multisensor optimal estimation and the basic concepts of Kalman filtering are briefly and systematically introduced. In Part II, the data fusion state estimation algorithms under networked environment are introduced. Part III consists of three chapters, in which the fusion estimation algorithms under event-triggered mechanisms are introduced. Part IV consists of two chapters, in which fusion estimation for systems with non-Gaussian but heavy-tailed noises are introduced. The book is primarily intended for researchers and engineers in the field of data fusion and state estimation. It also benefits for both graduate and undergraduate students who are interested in target tracking, navigation, networked control, etc.
Author | : Xue-Bo Jin |
Publisher | : MDPI |
Total Pages | : 569 |
Release | : 2018-06-26 |
Genre | : Technology & Engineering |
ISBN | : 3038429333 |
Download Advances in Multi-Sensor Information Fusion: Theory and Applications 2017 Book in PDF, ePub and Kindle
This book is a printed edition of the Special Issue "Advances in Multi-Sensor Information Fusion: Theory and Applications 2017" that was published in Sensors
Author | : Anthony K. Hyder |
Publisher | : Springer Science & Business Media |
Total Pages | : 929 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 9401005567 |
Download Multisensor Fusion Book in PDF, ePub and Kindle
For some time, all branches of the military have used a wide range of sensors to provide data for many purposes, including surveillance, reconnoitring, target detection and battle damage assessment. Many nations have also attempted to utilise these sensors for civilian applications, such as crop monitoring, agricultural disease tracking, environmental diagnostics, cartography, ocean temperature profiling, urban planning, and the characterisation of the Ozone Hole above Antarctica. The recent convergence of several important technologies has made possible new, advanced, high performance, sensor based applications relying on the near-simultaneous fusion of data from an ensemble of different types of sensors. The book examines the underlying principles of sensor operation and data fusion, the techniques and technologies that enable the process, including the operation of 'fusion engines'. Fundamental theory and the enabling technologies of data fusion are presented in a systematic and accessible manner. Applications are discussed in the areas of medicine, meteorology, BDA and targeting, transportation, cartography, the environment, agriculture, and manufacturing and process control.
Author | : H. V. Poor |
Publisher | : |
Total Pages | : 9 |
Release | : 1978 |
Genre | : |
ISBN | : |
Download Optimum Quantization for Memoryless Detection in M-Dependent Noise Book in PDF, ePub and Kindle
The problem of optimum data quantization for memoryless signal-detection systems operating in m-dependent noise environments is considered. The case where quantizer breakpoints are fixed or predetermined is considered first, and, for this case, existing results for general (unquantized) memoryless detection are modified to yield necessary and sufficient conditions for quantizer optimization in terms of asymptotic efficiency. Necessary conditions are also established for the optimum (asymptotically efficient) selection of quantizer breakpoints, and expressions are presented for the comparison of quantizer-detector performance on the basis of asymptotic relative efficiency. (Author).
Author | : Yawgeng A. Chau |
Publisher | : |
Total Pages | : 450 |
Release | : 1990 |
Genre | : Artificial intelligence |
ISBN | : |
Download Distributed Detection, Quantization and Fusion in Multi-sensor Networks with Correlated Observations Book in PDF, ePub and Kindle