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Yunmin Zhu - Multisensor Decision and Estimation Fusion - 9781402072581 - V9781402072581
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Multisensor Decision and Estimation Fusion

€ 191.98
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Description for Multisensor Decision and Estimation Fusion Hardback. Provides a treatment of the fundamentals of multisensor decision and estimation fusion in order to deal with general random observations or observation noises that are correlated across the sensors. For the multisensor point estimation fusion problem, a general version of the linear unbiased minimum variance estimation fusion rule is developed. Series: The International Series on Asian Studies in Computer and Information Science. Num Pages: 236 pages, biography. BIC Classification: GPFC; T; UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 166 x 241 x 21. Weight in Grams: 548.
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 ... Read more

Product Details

Format
Hardback
Publication date
2002
Publisher
Kluwer Academic Publishers United States
Number of pages
236
Condition
New
Series
The International Series on Asian Studies in Computer and Information Science
Number of Pages
236
Place of Publication
New York, NY, United States
ISBN
9781402072581
SKU
V9781402072581
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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