An intuitive and accessible text explaining the fundamentals and applications of graph signal processing. Requiring only an elementary understanding of linear algebra, it covers both basic and advanced topics, including node domain processing, graph signal frequency, sampling, and graph signal representations, as well as how to choose a graph. Understand the basic insights behind key concepts and learn how graphs can be associated to a range of specific applications across physical, biological and social networks, distributed sensor networks, image and video processing, and machine learning. With numerous exercises and Matlab examples to help put knowledge into practice, and a solutions manual available online for instructors, this unique text is essential reading for graduate and senior undergraduate students taking courses on graph signal processing, signal processing, information processing, and data analysis, as well as researchers and industry professionals.

An intuitive and accessible textbook covering both fundamentals and applications.

About the Author
Antonio Ortega is a Professor of Electrical and Computer Engineering at the University of Southern California, and a Fellow of the IEEE.


Book Information
ISBN 9781108428132
Author Antonio Ortega
Format Hardback
Page Count 300
Imprint Cambridge University Press
Publisher Cambridge University Press
Weight(grams) 720g
Dimensions(mm) 251mm * 175mm * 22mm