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Introduction to Graph Signal Processing

Hardback

Main Details

Title Introduction to Graph Signal Processing
Authors and Contributors      By (author) Antonio Ortega
Physical Properties
Format:Hardback
Pages:300
Dimensions(mm): Height 251,Width 175
Category/GenreComputer networking and communications
Signal processing
Image processing
ISBN/Barcode 9781108428132
ClassificationsDewey:621.3822
Audience
Professional & Vocational
Illustrations Worked examples or Exercises

Publishing Details

Publisher Cambridge University Press
Imprint Cambridge University Press
Publication Date 9 June 2022
Publication Country United Kingdom

Description

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.

Author Biography

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