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Handbook of Multisensor Data Fusion: Theory and Practice, Second Edition (Electrical Engineering and Applied Signal Processing) - Hardcover

Buch 20 von 24: Electrical Engineering & Applied Signal Processing
 
9781420053081: Handbook of Multisensor Data Fusion: Theory and Practice, Second Edition (Electrical Engineering and Applied Signal Processing)

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

Liggins II, Martin; Hall, David; Llinas, James

Von der hinteren Coverseite

Expanding the scope of the best-selling first edition, this volume introduces nine additional chapters and updates others to focus on developments in the fusion of data in a variety of applications from military to automotive to medical. It provides much-needed information on mathematical techniques and computer methods employed to perform fusion. The added material covers, among other areas, advances in Kalman filtering, fusion in a network centric environment, service-oriented architecture concepts, intelligent agents for improved decision making, off-the-shelf tools to assist development of data fusion systems, and current medical applications.

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