Data Fusion Mathematics PDF Download
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Author | : Jitendra R. Raol |
Publisher | : CRC Press |
Total Pages | : 572 |
Release | : 2015-08-27 |
Genre | : Mathematics |
ISBN | : 1498721028 |
Download Data Fusion Mathematics Book in PDF, ePub and Kindle
Fills the Existing Gap of Mathematics for Data FusionData fusion (DF) combines large amounts of information from a variety of sources and fuses this data algorithmically, logically and, if required intelligently, using artificial intelligence (AI). Also, known as sensor data fusion (SDF), the DF fusion system is an important component for use in va
Author | : David Lee Hall |
Publisher | : Artech House |
Total Pages | : 470 |
Release | : 2004 |
Genre | : Computers |
ISBN | : 9781580533355 |
Download Mathematical Techniques in Multisensor Data Fusion Book in PDF, ePub and Kindle
Since the publication of the first edition of this book, advances in algorithms, logic and software tools have transformed the field of data fusion. The latest edition covers these areas as well as smart agents, human computer interaction, cognitive aides to analysis and data system fusion control. data fusion system, this book guides you through the process of determining the trade-offs among competing data fusion algorithms, selecting commercial off-the-shelf (COTS) tools, and understanding when data fusion improves systems processing. Completely new chapters in this second edition explain data fusion system control, DARPA's recently developed TRIP model, and the latest applications of data fusion in data warehousing and medical equipment, as well as defence systems.
Author | : I.R. Goodman |
Publisher | : Springer Science & Business Media |
Total Pages | : 503 |
Release | : 2013-03-14 |
Genre | : Mathematics |
ISBN | : 9401589291 |
Download Mathematics of Data Fusion Book in PDF, ePub and Kindle
Data fusion or information fusion are names which have been primarily assigned to military-oriented problems. In military applications, typical data fusion problems are: multisensor, multitarget detection, object identification, tracking, threat assessment, mission assessment and mission planning, among many others. However, it is clear that the basic underlying concepts underlying such fusion procedures can often be used in nonmilitary applications as well. The purpose of this book is twofold: First, to point out present gaps in the way data fusion problems are conceptually treated. Second, to address this issue by exhibiting mathematical tools which treat combination of evidence in the presence of uncertainty in a more systematic and comprehensive way. These techniques are based essentially on two novel ideas relating to probability theory: the newly developed fields of random set theory and conditional and relational event algebra. This volume is intended to be both an update on research progress on data fusion and an introduction to potentially powerful new techniques: fuzzy logic, random set theory, and conditional and relational event algebra. Audience: This volume can be used as a reference book for researchers and practitioners in data fusion or expert systems theory, or for graduate students as text for a research seminar or graduate level course.
Author | : I R Goodman |
Publisher | : |
Total Pages | : 524 |
Release | : 1997-08-31 |
Genre | : |
ISBN | : 9789401589307 |
Download Mathematics of Data Fusion Book in PDF, ePub and Kindle
Data fusion or information fusion are names which have been primarily assigned to military-oriented problems. In military applications, typical data fusion problems are: multisensor, multitarget detection, object identification, tracking, threat assessment, mission assessment and mission planning, among many others. However, it is clear that the basic underlying concepts underlying such fusion procedures can often be used in nonmilitary applications as well. The purpose of this book is twofold: First, to point out present gaps in the way data fusion problems are conceptually treated. Second, to address this issue by exhibiting mathematical tools which treat combination of evidence in the presence of uncertainty in a more systematic and comprehensive way. These techniques are based essentially on two novel ideas relating to probability theory: the newly developed fields of random set theory and conditional and relational event algebra. This volume is intended to be both an update on research progress on data fusion and an introduction to potentially powerful new techniques: fuzzy logic, random set theory, and conditional and relational event algebra. Audience: This volume can be used as a reference book for researchers and practitioners in data fusion or expert systems theory, or for graduate students as text for a research seminar or graduate level course.
Author | : Wolfgang Koch |
Publisher | : Springer Science & Business Media |
Total Pages | : 261 |
Release | : 2013-09-20 |
Genre | : Technology & Engineering |
ISBN | : 3642392717 |
Download Tracking and Sensor Data Fusion Book in PDF, ePub and Kindle
Sensor Data Fusion is the process of combining incomplete and imperfect pieces of mutually complementary sensor information in such a way that a better understanding of an underlying real-world phenomenon is achieved. Typically, this insight is either unobtainable otherwise or a fusion result exceeds what can be produced from a single sensor output in accuracy, reliability, or cost. This book provides an introduction Sensor Data Fusion, as an information technology as well as a branch of engineering science and informatics. Part I presents a coherent methodological framework, thus providing the prerequisites for discussing selected applications in Part II of the book. The presentation mirrors the author's views on the subject and emphasizes his own contributions to the development of particular aspects. With some delay, Sensor Data Fusion is likely to develop along lines similar to the evolution of another modern key technology whose origin is in the military domain, the Internet. It is the author's firm conviction that until now, scientists and engineers have only scratched the surface of the vast range of opportunities for research, engineering, and product development that still waits to be explored: the Internet of the Sensors.
Author | : Benjamin Kedem |
Publisher | : World Scientific |
Total Pages | : 199 |
Release | : 2017-01-24 |
Genre | : Mathematics |
ISBN | : 9813200200 |
Download Statistical Data Fusion Book in PDF, ePub and Kindle
'The book provides a comprehensive review of the DRM approach to data fusion. It is well written and easy to follow, although the technical details are not trivial. The authors did an excellent job in making a concise introduction of the statistical techniques in data fusion. The book contains several real data … Overall, I found that the book covers an important topic and the DRM is a promising tool in this area. Researchers on data fusion will surely find this book very helpful and I will use this book in studying with my PhD students.'Journal of the American Statistical AssociationThis book comes up with estimates or decisions based on multiple data sources as opposed to more narrowly defined estimates or decisions based on single data sources. And as the world is awash with data obtained from numerous and varied processes, there is a need for appropriate statistical methods which in general produce improved inference by multiple data sources.The book contains numerous examples useful to practitioners from genomics. Topics range from sensors (radars), to small area estimation of body mass, to the estimation of small tail probabilities, to predictive distributions in time series analysis.
Author | : Giacomo Della Riccia |
Publisher | : Springer |
Total Pages | : 252 |
Release | : 2014-05-04 |
Genre | : Computers |
ISBN | : 3709125804 |
Download Data Fusion and Perception Book in PDF, ePub and Kindle
This work is a collection of front-end research papers on data fusion and perceptions. Authors are leading European experts of Artificial Intelligence, Mathematical Statistics and/or Machine Learning. Area overlaps with "Intelligent Data Analysis”, which aims to unscramble latent structures in collected data: Statistical Learning, Model Selection, Information Fusion, Soccer Robots, Fuzzy Quantifiers, Emotions and Artifacts.
Author | : H.B. Mitchell |
Publisher | : Springer Science & Business Media |
Total Pages | : 281 |
Release | : 2007-07-13 |
Genre | : Technology & Engineering |
ISBN | : 3540715592 |
Download Multi-Sensor Data Fusion Book in PDF, ePub and Kindle
This textbook provides a comprehensive introduction to the theories and techniques of multi-sensor data fusion. It is aimed at advanced undergraduate and first-year graduate students in electrical engineering and computer science, as well as researchers and professional engineers. The book is intended to be self-contained. No previous knowledge of multi-sensor data fusion is assumed, although some familiarity with the basic tools of linear algebra, calculus and simple probability theory is recommended.
Author | : Edward Waltz |
Publisher | : Artech House Radar Library (Ha |
Total Pages | : 0 |
Release | : 1990 |
Genre | : Mathematics |
ISBN | : 9780890062777 |
Download Multisensor Data Fusion Book in PDF, ePub and Kindle
Explains numeric and symbolic approaches to data association, tracking combination, classification, and situation assessment, and provides an overview of data fusion theory and mathematical formalisms.
Author | : Chris Harris |
Publisher | : Springer Science & Business Media |
Total Pages | : 334 |
Release | : 2012-10-05 |
Genre | : Computers |
ISBN | : 3642182429 |
Download Adaptive Modelling, Estimation and Fusion from Data Book in PDF, ePub and Kindle
This book brings together for the first time the complete theory of data based neurofuzzy modelling and the linguistic attributes of fuzzy logic in a single cohesive mathematical framework. After introducing the basic theory of data based modelling new concepts including extended additive and multiplicative submodels are developed. All of these algorithms are illustrated with benchmark examples to demonstrate their efficiency. The book aims at researchers and advanced professionals in time series modelling, empirical data modelling, knowledge discovery, data mining and data fusion.