Published by CRC Press, Boca Raton, London, New York, 2015
ISBN 10: 1138748633 ISBN 13: 9781138748637
Language: English
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Add to basketSoftcover. First Paperback Edition. Octavo, xv, xix, xxii, xxx, 570 pages. In Very Good condition. Spine red with black lettering. Paperback binding. Covers have mild wear with small tape mend to head rear joint edge and faint creases to rear tail fore edge. Text block has extremely light wear to the edges. Illustrated. First Paperback Edition. NOTE: Shelved in Netdesk Column H, ND-H. 1378669. FP New Rockville Stock.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Taylor & Francis Ltd, 2017
ISBN 10: 1138748633 ISBN 13: 9781138748637
Language: English
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Paperback. Condition: Brand New. 504 pages. 9.25x6.14x1.34 inches. In Stock.
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Published by CRC Press 2015-07-22, 2015
ISBN 10: 1498720978 ISBN 13: 9781498720977
Language: English
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Published by Taylor & Francis Group, 2015
ISBN 10: 1498720978 ISBN 13: 9781498720977
Language: English
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Published by Taylor & Francis Group, 2015
ISBN 10: 1498720978 ISBN 13: 9781498720977
Language: English
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Published by Taylor & Francis Group, 2015
ISBN 10: 1498720978 ISBN 13: 9781498720977
Language: English
Seller: Biblios, Frankfurt am main, HESSE, Germany
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Published by Taylor & Francis Ltd, 2017
ISBN 10: 1138748633 ISBN 13: 9781138748637
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 504 pages. 9.25x6.14x1.34 inches. In Stock. This item is printed on demand.
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 various applications that include the monitoring of vehicles, aerospace systems, large-scale structures, and large industrial automation plants. Data Fusion Mathematics: Theory and Practice offers a comprehensive overview of data fusion, and provides a proper and adequate understanding of the basic mathematics directly related to DF. The material covered can be used for evaluation of the performances of any designed and developed DF systems. It tries to answer whether unified data fusion mathematics can evolve from various disparate mathematical concepts, and highlights mathematics that can add credibility to the data fusion process.Focuses on Mathematical Tools That Use Data FusionThis text explores the use of statistical/probabilistic signal/image processing, filtering, component analysis, image algebra, decision making, and neuro-FL-GA paradigms in studying, developing and validating data fusion processes (DFP). It covers major mathematical expressions, and formulae and equations as well as, where feasible, their derivations. It also discusses SDF concepts, DF models and architectures, aspects and methods of type 1 and 2 fuzzy logics, and related practical applications. In addition, the author covers soft computing paradigms that are finding increasing applications in multisensory DF approaches and applications.This book:Explores the use of interval type 2 fuzzy logic and ANFIS in DFCovers the mathematical treatment of many types of filtering algorithms, target-tracking methods, and kinematic DF methodsPresents single and multi-sensor tracking and fusion mathematicsConsiders specific DF architectures in the context of decentralized systemsDiscusses information filtering, Bayesian approaches, several DF rules, image algebra and image fusion, decision fusion, and wireless sensor network (WSN) multimodality fusionData Fusion Mathematics: Theory and Practice incorporates concepts, processes, methods, and approaches in data fusion that can help you with integrating DF mathematics and achieving higher levels of fusion activity, and clarity of performance. This text is geared toward researchers, scientists, teachers and practicing engineers interested and working in the multisensor data fusion area.
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 590 pages. 9.33x6.50x1.42 inches. In Stock. This item is printed on demand.
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In a focused, in-depth study, this book explores the mathematical tools used in this increasingly widespread and important technical field. It includes the theory, methods, and tools used for creating a synergy of the information acquired from multiple sources, sensors, databases, and direct information by humans. Researchers, scientists, and engineers working in the multi-sensor/data fusion area will find this book to be a valuable tool for design and analysis, especially in areas like aerospace engineering, defense systems, and environmental monitoring, where data fusion is critically important.