Cooperative and Graph Signal Processing: Principles and Applications

ISBN-13: 9780128136775 / Angielski / Miękka / 2018 / 866 str.

Petar Djuric; Cedric Richard

Spis treści

PART 1 BASICS OF INFERENCE OVER NETWORKS 1. Asynchronous Adaptive Networks 2. Estimation and Detection Over Adaptive Networks 3. Multitask Learning Over Adaptive Networks With Grouping Strategies 4. Bayesian Approach to Collaborative Inference in Networks of Agents 5. Multiagent Distributed Optimization 6. Distributed Kalman and Particle Filtering 7. Game Theoretic Learning

PART 2 SIGNAL PROCESSING ON GRAPHS 8. Graph Signal Processing 9. Sampling and Recovery of Graph Signals 10. Bayesian Active Learning on Graphs 11. Design of Graph Filters and Filterbanks 12. Statistical Graph Signal Processing: Stationarity and Spectral Estimation 13. Inference of Graph Topology 14. Partially Absorbing Random Walks: A Unified Framework for Learning on Graphs

PART 3 DISTRIBUTED COMMUNICATIONS, NETWORKING, AND SENSING 15. Methods for Decentralized Signal Processing With Big Data 16. The Edge Cloud: A Holistic View of Communication, Computation, and Caching 17. Applications of Graph Connectivity to Network Security 18. Team Methods for Device Cooperation in Wireless Networks 19. Cooperative Data Exchange in Broadcast Networks 20. Collaborative Spectrum Sensing in the Presence of Byzantine Attack

PART 4 SOCIAL NETWORKS 21. Dynamics of Information Diffusion and Social Sensing 22. Active Sensing of Social Networks: Network Identification From Low-Rank Data 23. Dynamic Social Networks: Search and Data Routing 24. Information Diffusion and Rumor Spreading 25. Multilayer Social Networks 26. Multiagent Systems: Learning, Strategic Behavior, Cooperation, and Network Formation

PART 5 APPLICATIONS 27. Genomics and Systems Biology 28. Diffusion Augmented Complex Extended Kalman Filtering for Adaptive Frequency Estimation in Distributed Power Networks 29. Beacons and the City: Smart Internet of Things 30. Big Data 31. Graph Signal Processing on Neuronal Networks