Signal Processing, Sensor Fusion, and Target Recognition VIII.

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ISBN 13 :
Total Pages : 496 pages
Book Rating : 4.:/5 (112 download)

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Book Synopsis Signal Processing, Sensor Fusion, and Target Recognition VIII. by : Ivan Kadar

Download or read book Signal Processing, Sensor Fusion, and Target Recognition VIII. written by Ivan Kadar and published by . This book was released on 1999 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Signal Processing, Sensor Fusion, and Target Recognition

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Publisher :
ISBN 13 :
Total Pages : 516 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Signal Processing, Sensor Fusion, and Target Recognition by :

Download or read book Signal Processing, Sensor Fusion, and Target Recognition written by and published by . This book was released on 1999 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Signal Processing, Sensor Fusion, and Target Recognition VIII

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ISBN 13 : 9780819431943
Total Pages : 0 pages
Book Rating : 4.4/5 (319 download)

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Book Synopsis Signal Processing, Sensor Fusion, and Target Recognition VIII by : Ivan Kadar

Download or read book Signal Processing, Sensor Fusion, and Target Recognition VIII written by Ivan Kadar and published by . This book was released on 1999 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceedings Of The 11th Joint International Computer Conference: Jicc 2005

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Publisher : World Scientific
ISBN 13 : 9814479136
Total Pages : 1009 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Proceedings Of The 11th Joint International Computer Conference: Jicc 2005 by : Qingsheng Zhu

Download or read book Proceedings Of The 11th Joint International Computer Conference: Jicc 2005 written by Qingsheng Zhu and published by World Scientific. This book was released on 2005-10-07 with total page 1009 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest techniques, algorithms, research accomplishments and trend in computer science and engineering. It collects together 222 peer reviewed papers presented at the 11th Joint International Computer Conference. The theme of this year is “IT: Intellectual Capital for the Betterment of Human Life”. The articles in this book cover a wide range of active and interesting areas such as Digital Entertainment, Grid Computing, Embedded System, Web Service and Knowledge Engineering. This book serves as a good reference not only for researchers but also for graduate students in corresponding fields.The proceedings have been selected for coverage in:•Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings)•CC Proceedings — Engineering & Physical Sciences

Bootstrap Techniques for Signal Processing

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Publisher : Cambridge University Press
ISBN 13 : 9781139452021
Total Pages : 238 pages
Book Rating : 4.4/5 (52 download)

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Book Synopsis Bootstrap Techniques for Signal Processing by : Abdelhak M. Zoubir

Download or read book Bootstrap Techniques for Signal Processing written by Abdelhak M. Zoubir and published by Cambridge University Press. This book was released on 2004-05-06 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: The statistical bootstrap is one of the methods that can be used to calculate estimates of a certain number of unknown parameters of a random process or a signal observed in noise, based on a random sample. Such situations are common in signal processing and the bootstrap is especially useful when only a small sample is available or an analytical analysis is too cumbersome or even impossible. This book covers the foundations of the bootstrap, its properties, its strengths and its limitations. The authors focus on bootstrap signal detection in Gaussian and non-Gaussian interference as well as bootstrap model selection. The theory developed in the book is supported by a number of useful practical examples written in MATLAB. The book is aimed at graduate students and engineers, and includes applications to real-world problems in areas such as radar and sonar, biomedical engineering and automotive engineering.

Sensor Management in ISR

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Publisher : Artech House
ISBN 13 : 1630816868
Total Pages : 235 pages
Book Rating : 4.6/5 (38 download)

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Book Synopsis Sensor Management in ISR by : Kenneth J. Hintz

Download or read book Sensor Management in ISR written by Kenneth J. Hintz and published by Artech House. This book was released on 2020-02-29 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: This innovative resource is the first book that partitions the intelligence, surveillance and reconnaissance (ISR) sensor management process into partitioned functions that can be studied and optimized independently of each other through defined conceptual interfaces. The book explains the difference between situation information and sensor information and how to compute both. The information-based sensor management (IBSM) approach to real-time orchestrated resource management (ORM) of intelligence, surveillance, and reconnaissance (ISR) assets in the physical, cyber, and social domains are detailed. The integrating concept of mission value through use of goal lattice (GL) methodology is explored. Approaches to implementing real-time sensor management (SM) systems by applying advanced information-based approaches that consider contextual situation and optimization of diverse sensor capabilities for information-based objectives are also covered. These methods have applications in physical intelligence, surveillance, and reconnaissance (ISR), as well as in cyber, and social domains. Based on 30 years of research in developing a mission-valued approach to maximizing the transfer of information from real, cyber, and social environments into a mission-valued, probabilistic representation of that environment on which decision makers can formulate actions, this is the only book that addresses real-time management of ISR from a first principles approach (information theory), and how information theory can be applied to the design and development of ISR systems.

Pattern Theory

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Publisher : Oxford University Press
ISBN 13 : 0198505701
Total Pages : 633 pages
Book Rating : 4.1/5 (985 download)

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Book Synopsis Pattern Theory by : Ulf Grenander

Download or read book Pattern Theory written by Ulf Grenander and published by Oxford University Press. This book was released on 2007 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern Theory provides a comprehensive and accessible overview of the modern challenges in signal, data, and pattern analysis in speech recognition, computational linguistics, image analysis and computer vision. Aimed at graduate students in biomedical engineering, mathematics, computer science, and electrical engineering with a good background in mathematics and probability, the text includes numerous exercises and an extensive bibliography. Additional resources including extended proofs, selected solutions and examples are available on a companion website. The book commences with a short overview of pattern theory and the basics of statistics and estimation theory. Chapters 3-6 discuss the role of representation of patterns via condition structure. Chapters 7 and 8 examine the second central component of pattern theory: groups of geometric transformation applied to the representation of geometric objects. Chapter 9 moves into probabilistic structures in the continuum, studying random processes and random fields indexed over subsets of Rn. Chapters 10 and 11 continue with transformations and patterns indexed over the continuum. Chapters 12-14 extend from the pure representations of shapes to the Bayes estimation of shapes and their parametric representation. Chapters 15 and 16 study the estimation of infinite dimensional shape in the newly emergent field of Computational Anatomy. Finally, Chapters 17 and 18 look at inference, exploring random sampling approaches for estimation of model order and parametric representing of shapes.

Advances in Statistical Multisource-Multitarget Information Fusion

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Publisher : Artech House
ISBN 13 : 1608077985
Total Pages : 1167 pages
Book Rating : 4.6/5 (8 download)

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Book Synopsis Advances in Statistical Multisource-Multitarget Information Fusion by : Ronald P.S. Mahler

Download or read book Advances in Statistical Multisource-Multitarget Information Fusion written by Ronald P.S. Mahler and published by Artech House. This book was released on 2014-08-01 with total page 1167 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the sequel to the 2007 Artech House bestselling title, Statistical Multisource-Multitarget Information Fusion. That earlier book was a comprehensive resource for an in-depth understanding of finite-set statistics (FISST), a unified, systematic, and Bayesian approach to information fusion. The cardinalized probability hypothesis density (CPHD) filter, which was first systematically described in the earlier book, has since become a standard multitarget detection and tracking technique, especially in research and development. Since 2007, FISST has inspired a considerable amount of research, conducted in more than a dozen nations, and reported in nearly a thousand publications. This sequel addresses the most intriguing practical and theoretical advances in FISST, for the first time aggregating and systematizing them into a coherent, integrated, and deep-dive picture. Special emphasis is given to computationally fast exact closed-form implementation approaches. The book also includes the first complete and systematic description of RFS-based sensor/platform management and situation assessment.

Handbook of Multisensor Data Fusion

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Publisher : CRC Press
ISBN 13 : 1420053094
Total Pages : 872 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Handbook of Multisensor Data Fusion by : Martin Liggins II

Download or read book Handbook of Multisensor Data Fusion written by Martin Liggins II and published by CRC Press. This book was released on 2017-01-06 with total page 872 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the years since the bestselling first edition, fusion research and applications have adapted to service-oriented architectures and pushed the boundaries of situational modeling in human behavior, expanding into fields such as chemical and biological sensing, crisis management, and intelligent buildings. Handbook of Multisensor Data Fusion: Theory and Practice, Second Edition represents the most current concepts and theory as information fusion expands into the realm of network-centric architectures. It reflects new developments in distributed and detection fusion, situation and impact awareness in complex applications, and human cognitive concepts. With contributions from the world’s leading fusion experts, this second edition expands to 31 chapters covering the fundamental theory and cutting-edge developments that are driving this field. New to the Second Edition— · Applications in electromagnetic systems and chemical and biological sensors · Army command and combat identification techniques · Techniques for automated reasoning · Advances in Kalman filtering · Fusion in a network centric environment · Service-oriented architecture concepts · Intelligent agents for improved decision making · Commercial off-the-shelf (COTS) software tools From basic information to state-of-the-art theories, this second edition continues to be a unique, comprehensive, and up-to-date resource for data fusion systems designers.

Recent Developments in Cooperative Control and Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 9781402076442
Total Pages : 484 pages
Book Rating : 4.0/5 (764 download)

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Book Synopsis Recent Developments in Cooperative Control and Optimization by : Sergiy Butenko

Download or read book Recent Developments in Cooperative Control and Optimization written by Sergiy Butenko and published by Springer Science & Business Media. This book was released on 2004 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past several years, cooperative control and optimization has un questionably been established as one of the most important areas of research in the military sciences. Even so, cooperative control and optimization tran scends the military in its scope -having become quite relevant to a broad class of systems with many exciting, commercial, applications. One reason for all the excitement is that research has been so incredibly diverse -spanning many scientific and engineering disciplines. This latest volume in the Cooperative Systems book series clearly illustrates this trend towards diversity and creative thought. And no wonder, cooperative systems are among the hardest systems control science has endeavored to study, hence creative approaches to model ing, analysis, and synthesis are a must! The definition of cooperation itself is a slippery issue. As you will see in this and previous volumes, cooperation has been cast into many different roles and therefore has assumed many diverse meanings. Perhaps the most we can say which unites these disparate concepts is that cooperation (1) requires more than one entity, (2) the entities must have some dynamic behavior that influences the decision space, (3) the entities share at least one common objective, and (4) entities are able to share information about themselves and their environment. Optimization and control have long been active fields of research in engi neering.

Engineering Artificially Intelligent Systems

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Publisher : Springer Nature
ISBN 13 : 3030893855
Total Pages : 291 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Engineering Artificially Intelligent Systems by : William F. Lawless

Download or read book Engineering Artificially Intelligent Systems written by William F. Lawless and published by Springer Nature. This book was released on 2021-11-16 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many current AI and machine learning algorithms and data and information fusion processes attempt in software to estimate situations in our complex world of nested feedback loops. Such algorithms and processes must gracefully and efficiently adapt to technical challenges such as data quality induced by these loops, and interdependencies that vary in complexity, space, and time. To realize effective and efficient designs of computational systems, a Systems Engineering perspective may provide a framework for identifying the interrelationships and patterns of change between components rather than static snapshots. We must study cascading interdependencies through this perspective to understand their behavior and to successfully adopt complex system-of-systems in society. This book derives in part from the presentations given at the AAAI 2021 Spring Symposium session on Leveraging Systems Engineering to Realize Synergistic AI / Machine Learning Capabilities. Its 16 chapters offer an emphasis on pragmatic aspects and address topics in systems engineering; AI, machine learning, and reasoning; data and information fusion; intelligent systems; autonomous systems; interdependence and teamwork; human-computer interaction; trust; and resilience.

Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control

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Publisher : Elsevier
ISBN 13 : 0323900682
Total Pages : 400 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control by : Ch. Venkateswarlu

Download or read book Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control written by Ch. Venkateswarlu and published by Elsevier. This book was released on 2022-01-31 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control presents various mechanistic model based state estimators and data-driven model based state estimators with a special emphasis on their development and applications to process monitoring, fault diagnosis and control. The design and analysis of different state estimators are highlighted with a number of applications and case studies concerning to various real chemical and biochemical processes. The book starts with the introduction of basic concepts, extending to classical methods and successively leading to advances in this field. Design and implementation of various classical and advanced state estimation methods to solve a wide variety of problems makes this book immensely useful for the audience working in different disciplines in academics, research and industry in areas concerning to process monitoring, fault diagnosis, control and related disciplines. - Describes various classical and advanced versions of mechanistic model based state estimation algorithms - Describes various data-driven model based state estimation techniques - Highlights a number of real applications of mechanistic model based and data-driven model based state estimators/soft sensors - Beneficial to those associated with process monitoring, fault diagnosis, online optimization, control and related areas

Sensor Fusion

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Publisher : BoD – Books on Demand
ISBN 13 : 9533074469
Total Pages : 242 pages
Book Rating : 4.5/5 (33 download)

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Book Synopsis Sensor Fusion by : Ciza Thomas

Download or read book Sensor Fusion written by Ciza Thomas and published by BoD – Books on Demand. This book was released on 2011-06-13 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sensor Fusion - Foundation and Applications comprehensively covers the foundation and applications of sensor fusion. This book provides some novel ideas, theories, and solutions related to the research areas in the field of sensor fusion. The book explores some of the latest practices and research works in the area of sensor fusion. The book contains chapters with different methods of sensor fusion for different engineering as well as non-engineering applications. Advanced applications of sensor fusion in the areas of mobile robots, automatic vehicles, airborne threats, agriculture, medical field and intrusion detection are covered in this book. Sufficient evidences and analyses have been provided in the chapter to show the effectiveness of sensor fusion in various applications. This book would serve as an invaluable reference for professionals involved in various applications of sensor fusion.

IUTAM Symposium on Chaotic Dynamics and Control of Systems and Processes in Mechanics

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Publisher : Springer Science & Business Media
ISBN 13 : 1402032684
Total Pages : 518 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis IUTAM Symposium on Chaotic Dynamics and Control of Systems and Processes in Mechanics by : Giuseppe Rega

Download or read book IUTAM Symposium on Chaotic Dynamics and Control of Systems and Processes in Mechanics written by Giuseppe Rega and published by Springer Science & Business Media. This book was released on 2006-06-22 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: The interest of the applied mechanics community in chaotic dynamics of engineering systems has exploded in the last fifteen years, although research activity on nonlinear dynamical problems in mechanics started well before the end of the Eighties. It developed first within the general context of the classical theory of nonlinear oscillations, or nonlinear vibrations, and of the relevant engineering applications. This was an extremely fertile field in terms of formulation of mechanical and mathematical models, of development of powerful analytical techniques, and of understanding of a number of basic nonlinear phenomena. At about the same time, meaningful theoretical results highlighting new solution methods and new or complex phenomena in the dynamics of deterministic systems were obtained within dynamical systems theory by means of sophisticated geometrical and computational techniques. In recent years, careful experimental studies have been made to establish the actual occurrence and observability of the predicted dynamic phenomena, as it is vitally needed in all engineering fields. Complex dynamics have been shown to characterize the behaviour of a great number of nonlinear mechanical systems, ranging from aerospace engineering applications to naval applications, mechanical engineering, structural engineering, robotics and biomechanics, and other areas. The International Union of Theoretical and Applied Mechanics grasped the importance of such complex phenomena in the Eighties, when the first IUTAM Symposium devoted to the general topic of nonlinear and chaotic dynamics in applied mechanics and engineering was held in Stuttgart (1989).

Signal Processing, Sensor Fusion, and Target Recognition

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Publisher :
ISBN 13 :
Total Pages : 453 pages
Book Rating : 4.:/5 (759 download)

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Book Synopsis Signal Processing, Sensor Fusion, and Target Recognition by : Vibeke Libby

Download or read book Signal Processing, Sensor Fusion, and Target Recognition written by Vibeke Libby and published by . This book was released on 1992 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Methods in Signal Processing and Communications

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Publisher : Springer Science & Business Media
ISBN 13 : 1461220181
Total Pages : 326 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Intelligent Methods in Signal Processing and Communications by : Domingo DoCampo

Download or read book Intelligent Methods in Signal Processing and Communications written by Domingo DoCampo and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: 129 6.2 Representation of hints. 131 6.3 Monotonicity hints .. . 134 6.4 Theory ......... . 139 6.4.1 Capacity results 140 6.4.2 Decision boundaries 144 6.5 Conclusion 145 6.6 References....... ... 146 7 Analysis and Synthesis Tools for Robust SPRness 147 C. Mosquera, J.R. Hernandez, F. Perez-Gonzalez 7.1 Introduction.............. 147 7.2 SPR Analysis of Uncertain Systems. 153 7.2.1 The Poly topic Case . 155 7.2.2 The ZP-Ball Case ...... . 157 7.2.3 The Roots Space Case ... . 159 7.3 Synthesis of LTI Filters for Robust SPR Problems 161 7.3.1 Algebraic Design for Two Plants ..... . 161 7.3.2 Algebraic Design for Three or More Plants 164 7.3.3 Approximate Design Methods. 165 7.4 Experimental results 167 7.5 Conclusions 168 7.6 References ..... . 169 8 Boundary Methods for Distribution Analysis 173 J.L. Sancho et aZ. 8.1 Introduction ............. . 173 8.1.1 Building a Classifier System . 175 8.2 Motivation ............. . 176 8.3 Boundary Methods as Feature-Set Evaluation 177 8.3.1 Results ................ . 179 8.3.2 Feature Set Evaluation using Boundary Methods: S- mary. . . . . . . . . . . . . . . . . . . .. . . 182 . . .

Integrated Tracking, Classification, and Sensor Management

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Publisher : John Wiley & Sons
ISBN 13 : 0470639059
Total Pages : 738 pages
Book Rating : 4.4/5 (76 download)

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Book Synopsis Integrated Tracking, Classification, and Sensor Management by : Mahendra Mallick

Download or read book Integrated Tracking, Classification, and Sensor Management written by Mahendra Mallick and published by John Wiley & Sons. This book was released on 2012-12-03 with total page 738 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique guide to the state of the art of tracking, classification, and sensor management This book addresses the tremendous progress made over the last few decades in algorithm development and mathematical analysis for filtering, multi-target multi-sensor tracking, sensor management and control, and target classification. It provides for the first time an integrated treatment of these advanced topics, complete with careful mathematical formulation, clear description of the theory, and real-world applications. Written by experts in the field, Integrated Tracking, Classification, and Sensor Management provides readers with easy access to key Bayesian modeling and filtering methods, multi-target tracking approaches, target classification procedures, and large scale sensor management problem-solving techniques. Features include: An accessible coverage of random finite set based multi-target filtering algorithms such as the Probability Hypothesis Density filters and multi-Bernoulli filters with focus on problem solving A succinct overview of the track-oriented MHT that comprehensively collates all significant developments in filtering and tracking A state-of-the-art algorithm for hybrid Bayesian network (BN) inference that is efficient and scalable for complex classification models New structural results in stochastic sensor scheduling and algorithms for dynamic sensor scheduling and management Coverage of the posterior Cramer-Rao lower bound (PCRLB) for target tracking and sensor management Insight into cutting-edge military and civilian applications, including intelligence, surveillance, and reconnaissance (ISR) With its emphasis on the latest research results, Integrated Tracking, Classification, and Sensor Management is an invaluable guide for researchers and practitioners in statistical signal processing, radar systems, operations research, and control theory.