Cooperative and Graph Signal Processing: Principles and Applications

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 INDICE: 1. Adaptation and learning 2. Detection, estimation and filtering 3. Bayesian approach to inference 4. Optimization and control 5. Machine learning 6. Game-theoretic learning 7. Discrete-time signal processing 8. Sampling and recovery of graph signals 9. Design of graph filters and filter banks 10. Statistical signal processing 11. Inference of graph topology 12. Prediction and learning 13. Monitoring and sensing 14. Optimal network signal processing and resource allocation 15. Network security and privacy 16. Cooperative and coordinated multi-cell techniques 17. Source and channel decoding 18. Scheduling and queuing protocols 19. Learning, distributed decision-making, estimation, and filtering 20. Consensus and coordination 21. Dynamic social networks 22. Information diffusion and rumor spreading 23. Multi-layered social networks 24. Marketing and advertising, trend prediction, recommendation systems, and crowdsourcing 25. Genomics and systems biology 26. Media and video 27. Smart grids 28. Internet of Things 29. Wireless health 30. Neuroscience

• ISBN: 978-0-12-813677-5
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 625
• Fecha Publicación: 29/06/2018
• Nº Volúmenes: 1
• Idioma: Inglés