Multisensor Decision And Estimation Fusion - Yunmin Zhu
-35% koodilla BOOKS
Toimitus 12-18 arkipäivässä
30 päivän palautusoikeus
YUNMIN ZHU In the past two decades, multi sensor or multi-source information fusion tech niques have attracted more and more attention in practice, where observations are processed in a distributed manner and decisions or estimates are made at the individual processors, and processed data (or compressed observations) are then transmitted to a fusion center where the final global decision or estimate is mad ... Täydellinen kuvaus
Saatat myös pitää
TOP
The Code Book: The Science of Secrecy from Ancient Egypt to Quantum Cryptography
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
101 Things I Learned in Architecture School
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Many Faces, One Purpose: A Manager's Handbook on Women in Firefighting
U. S. Fire Administration, Homeland Security
-35% koodilla BOOKS
Loppu
TOP
The Gulf Moment: Arab Relations Since 2011
Florence Gaub, U. S. Army War College, Strategic Studies Institute
-35% koodilla BOOKS
Loppu
TOP
Worth Dying For: The Power and Politics of Flags
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
The Dictionary of Obscure Sorrows
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
International Economics: Theory and Policy, Global Edition
Paul Krugman, Maurice Obstfeld, Marc Melitz
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
The Unaccountability Machine: Why Big Systems Make Terrible Decisions
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Introduction to Algorithms
Ronald L. Rivest, Charles E. Leiserson, Clifford Stein, Thomas H. Cormen
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Nudge: Improving Decisions About Health, Wealth and Happiness
Cass R Sunstein, Richard H. Thaler
-35% koodilla BOOKS
Varastossa
TOP
Dinosaurs and Prehistoric Life: The Definitive Visual Guide to Prehistoric Animals
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
The Demon-Haunted World: Science as a Candle in the Dark
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
The Art of Uncertainty: How to Navigate Chance, Ignorance, Risk and Luck
-35% koodilla BOOKS
Loppu
TOP
Only Dull People Are Brilliant at Breakfast
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Heart Rate Variability: Science and Strategies for Peak Performance
Marco Altini, Sylvain Laborde, Dan Plews, Emma Mosley
-35% koodilla BOOKS
Loppu
TOP
Playing It by the Book: Printed and Manuscript Book Games in Early Modern Europe
-35% koodilla BOOKS
Toimittajalla varastossa
TOP
Crossing Borders: About the birth of the Consortium of European Research Libraries, the organisation's early years and its path to maturity, spanning the period from the late twentieth century to the first decades of the twenty-first century
-35% koodilla BOOKS
Toimittajalla varastossa
Kuvaus
YUNMIN ZHU In the past two decades, multi sensor or multi-source information fusion tech niques have attracted more and more attention in practice, where observations are processed in a distributed manner and decisions or estimates are made at the individual processors, and processed data (or compressed observations) are then transmitted to a fusion center where the final global decision or estimate is made. A system with multiple distributed sensors has many advantages over one with a single sensor. These include an increase in the capability, reliability, robustness and survivability of the system. Distributed decision or estimation fusion prob lems for cases with statistically independent observations or observation noises have received significant attention (see Varshney's book Distributed Detec tion and Data Fusion, New York: Springer-Verlag, 1997, Bar-Shalom's book Multitarget-Multisensor Tracking: Advanced Applications, vol. 1-3, Artech House, 1990, 1992,2000). Problems with statistically dependent observations or observation noises are more difficult and have received much less study. In practice, however, one often sees decision or estimation fusion problems with statistically dependent observations or observation noises. For instance, when several sensors are used to detect a random signal in the presence of observation noise, the sensor observations could not be statistically independent when the signal is present. This book provides a more complete treatment of the fundamentals of multi sensor decision and estimation fusion in order to deal with general random ob servations or observation noises that are correlated across the sensors.
Lisätietoja
| Kirjoittaja | Yunmin Zhu |
|---|---|
| Julkaisija | Springer New York |
| Series | The International Series on Asian Studies in Computer and Information Science |
| Julkaisuvuosi | 2012 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9781461353676 |