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Statistical Multisource-Multitarget INF par Ronald P S Mahler : Neuf-
201,11 USD
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Numéro de l'objet eBay :283488766282
Dernière mise à jour le 15 déc. 2023 23:48:19 Paris. Afficher toutes les modificationsAfficher toutes les modifications
Caractéristiques de l'objet
- État
- Book Title
- Statistical Multisource-Multitarget INF
- Publication Date
- 2007-03-31
- Pages
- 886
- ISBN
- 1596930926
- Subject Area
- Mathematics, Technology & Engineering
- Publication Name
- Statistical Multisource-Multitarget Information Fusion
- Publisher
- Artech House
- Item Length
- 9.2 in
- Subject
- Probability & Statistics / General, Radar, Probability & Statistics / Bayesian Analysis
- Publication Year
- 2007
- Series
- Artech House Information Warfare Library
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 2 in
- Item Weight
- 45.7 Oz
- Item Width
- 6.5 in
- Number of Pages
- 856 Pages
À propos de ce produit
Product Identifiers
Publisher
Artech House
ISBN-10
1596930926
ISBN-13
9781596930926
eBay Product ID (ePID)
57076195
Product Key Features
Number of Pages
856 Pages
Publication Name
Statistical Multisource-Multitarget Information Fusion
Language
English
Subject
Probability & Statistics / General, Radar, Probability & Statistics / Bayesian Analysis
Publication Year
2007
Type
Textbook
Subject Area
Mathematics, Technology & Engineering
Series
Artech House Information Warfare Library
Format
Hardcover
Dimensions
Item Height
2 in
Item Weight
45.7 Oz
Item Length
9.2 in
Item Width
6.5 in
Additional Product Features
Intended Audience
Trade
LCCN
2007-274985
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
006.3/3
Table Of Content
Unified Single-Target Multisource Integration Conventional Single-Sensor, Single-Target Tracking. General Data Modeling. Random Set Uncertainty Representations. Unambiguously Generated Ambiguous (UGA) Measurements. Ambiguously Generated Ambiguous (AGA) Measurements. Ambiguously Generated Unambiguous (AGU) Measurements. Ambiguous State-Estimates. Finite-Set Measurements. Unified Multitarget Multisource Integration Conventional Multisource-Multitarget Information Fusion. Multitarget Differential and Integral Calculus. Multitarget Likelihood Functions. Multitarget Markov Densities. The Multisource-Multitarget Bayes Filter. Approximate Multitarget Filtering Multitarget Particle Approximation. Multitarget-Moment Approximation. Multitarget Multi-Bernoulli Approximation. Appendices.
Synopsis
This comprehensive resource provides you with an in-depth understanding of finite-set statistics (FISST) a recently developed method which unifies much of information fusion under a single probabilistic, in fact Bayesian, paradigm. The book helps you master FISST concepts, techniques, and algorithms, so you can use FISST to address real-world challenges in the field. You learn how to model, fuse, and process highly disparate information sources, and detect and track non-cooperative individual/platform groups and conventional non-cooperative targets., Information fusion is the process of gathering, filtering, correlating and integrating relevant information from various sources into one representational format. It is used by signal processing engineers and information operations specialists to help them make decisions involving tasks like sensor management, tracking, and system control. This comprehensive resource provides practitioners with an in-depth understanding of finite-set statistics (FISST) - a recently developed method that has been gaining much attention among professionals because it unifies information fusion, utilizing statistics that most engineers learn as undergraduates. The book helps professionals use FISST to create efficient information fusion systems that can be implemented to address real-world challenges in the field., This comprehensive resource provides practitioners with an in-depth understanding of finite-set statistics (FISST)--a recently developed method that has been gaining much attention among professionals because it unifies information fusion, utilizing statistics that most engineers learn as undergraduates.
LC Classification Number
TK
Description de l'objet fournie par le vendeur
Informations sur le vendeur professionnel
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- p***p (47)- Évaluations laissées par l'acheteur.6 derniers moisAchat vérifiéGreat seller! Item is what I ordered; good communication; shipped promptly; good value. NOTE TO SELLER: packaging was NOT appropriate for item; it was a flimsy, plastic envelope, with no stiff material to prevent creases. The book came with two deep creases that involved the *entire* item: one is a 1" triangle lower left side (bound edge); the other is a 7" triangle on upper right side (open edge).Beautiful Music for Two String Instruments, Bk 3: 2 Violins by Samuel Applebaum (n°403989405345)
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- o***o (80)- Évaluations laissées par l'acheteur.Dernier moisAchat vérifiéThe seller charged a very reasonable price and shipped it quickly in a sturdy package. It arrived fast and in perfect condition. There was no need for further communication. They did a great job and I strongly recommend this seller.
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