| Contents |
Asynchronous adaptive networks / Ali H. Sayed, Xiaochuan Zhao -- Estimation and detection over adaptive networks / Vincenzo Matta, Ali H. Sayed -- Multitask learning over adaptive networks with grouping strategies / Jie Chen, Cédric Richard, Shang Kee Ting, Ali H. Sayed -- Bayesian approach to collaborative inference in networks of agents / Kamil Dedecius, Petar M. Djurić -- Multiagent distributed optimization / Michael G. Rabbat, Alejandro Ribeiro -- Distributed Kalman and particle filtering / Ali H. Sayed, Petar M. Djurić, Franz Hlawatsch -- Game theoretic learning / Ceyhun Eksin, Brian Swenson, Soummya Kar, Alejandro Ribeiro -- Graph signal processing / José M.F. Moura -- Sampling and recovery of graph signals / Paolo Di Lorenzo, Sergio Barbarossa, Paolo Banelli -- Bayesian active learning on graphs / Kwang-Sung Jun, Robert Nowak -- Design of graph filters and filterbanks / Nicolas Tremblay, Paulo Gonçalves, Pierre Borgnat -- Statistical graph signal processing: stationarity and spectral estimation / Santiago Segarra, Sundeep Prabhakar Chepuri, Antonio G. Marques, Geert Leus -- Inference of graph topology / Gonzalo Matoes, Santiago Segarra, Antonio G. Marques -- Partially absorbing random walks: a unified framework for learning on graphs / Xiao-Ming Wu, Zhenguo Li, Shih-Fu Chang -- Methods for decentralized signal processing with big data / Hoi-To Wai, Anna Scaglione, Eric Moulines -- The edge cloud: a holistic view of communication, computation, and caching / Sergio Barbarossa, Stefania Sardellitti, Elena Ceci, Mattia Merluzzi -- Applications of graph connectivity to network security / Ying Liu, Wade Trappe, Andrey Garnaev -- Team methods for device cooperation in wireless networks / David Gesbert, Paul de Kerret -- Cooperative data exchange in broadcast networks / Alex Sprintson -- Collaborative spectrum sensing in the presence of Byzantine attack / Bhavya Kailkhura, Aditya Vempaty, Pramod K. Varshney -- Dynamics of information diffusion and social sensing / Vikram Krishnamurthy, William Hoiles -- Active sensing of social networks: network identification from low-rank data / Hoi-To Wai, Anna Scaglione, Amir Leshern -- Dynamic social networks: search and data routing / Hazer Inaltekin, H. Vincent Poor -- Information diffusion and rumor spreading / Argyris Kalogeratos, Kevin Scaman, Lyca Corinzia, Nicolas Vayatis -- Multilayer social networks / Brandon Oselio, Sijia Liu, Alfred Hero -- Multiagent systems: learning, strategic behavior, cooperation, and network formation / Cem Tekin, Simpson Zhang, Jie Xu, Mihaela van der Schaar -- Genomics and systems biology / Daefeng Wang, Chao Cheng -- Diffusion augmented complex extended Kalman filtering for adaptive frequency estimation in distributed power networks / Yili Xia, Sithan Kanna, Danilo P. Mandic -- Beacons and the city: smart Internet of Things / Petros Spachos, Konstantinos Plataniotis -- Big data / Morteza Mardani, Gonzalo Mateos, Georgios B. Giannakis -- Graph signal processing on neuronal networks / Selin Aviyente, Marisel Villafañe-Delgado. |
| Abstract |
"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."-- Provided by publisher. |
