Cooperative and Graph Signal Processing : Principles and Applications /

Cooperative and Graph Signal Processing : Principles and Applications /

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Bibliographic Details
Author / Creator:	Djurić, Petar M., author.
Imprint:	London, United Kingdom : Academic Press, an imprint of Elsevier, [2018] ©2018
Description:	1 online resource.
Language:	English
Subject:	Signal processing. Image processing. Image processing. Signal processing.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11678487

Hidden Bibliographic Details
Other authors / contributors:	Richard, Cédric, author..
ISBN:	9780128136782 0128136782 9780128136775 0128136774
Notes:	Includes bibliographical references and index. Online resource; title from PDF title page (EBSCO, viewed July 12, 2018).
Summary:	"Cooperative and Graph Signal Processing: Principles and Applications presents the fundamentals of signal processing over networks and the latest advances in graph signal processing. A range of key concepts are clearly explained, including learning, adaptation, optimization, control, inference and machine learning. Building on the principles of these areas, the book then shows how they are relevant to understanding distributed communication, networking and sensing and social networks. Finally, the book shows how the principles are applied to a range of applications, such as Big data, Media and video, Smart grids, Internet of Things, Wireless health and Neuroscience. With this book readers will learn the basics of adaptation and learning in networks, the essentials of detection, estimation and filtering, Bayesian inference in networks, optimization and control, machine learning, signal processing on graphs, signal processing for distributed communication, social networks from the perspective of flow of information, and how to apply signal processing methods in distributed settings. Presents the first book on cooperative signal processing and graph signal processing Provides a range of applications and application areas that are thoroughly coveredIncludes an editor in chief and associate editor from the IEEE Transactions on Signal Processing and Information Processing over Networks who have recruited top contributors for the book"--
Other form:	Print version: 0128136774 9780128136775

Description
Summary:	Cooperative and Graph Signal Processing: Principles and Applications presents the fundamentals of signal processing over networks and the latest advances in graph signal processing. A range of key concepts are clearly explained, including learning, adaptation, optimization, control, inference and machine learning. Building on the principles of these areas, the book then shows how they are relevant to understanding distributed communication, networking and sensing and social networks. Finally, the book shows how the principles are applied to a range of applications, such as Big data, Media and video, Smart grids, Internet of Things, Wireless health and Neuroscience.With this book readers will learn the basics of adaptation and learning in networks, the essentials of detection, estimation and filtering, Bayesian inference in networks, optimization and control, machine learning, signal processing on graphs, signal processing for distributed communication, social networks from the perspective of flow of information, and how to apply signal processing methods in distributed settings.- Presents the first book on cooperative signal processing and graph signal processing- Provides a range of applications and application areas that are thoroughly covered- Includes an editor in chief and associate editor from the IEEE Transactions on Signal Processing and Information Processing over Networks who have recruited top contributors for the book
Physical Description:	1 online resource.
Bibliography:	Includes bibliographical references and index.
ISBN:	9780128136782 0128136782 9780128136775 0128136774