Introduction to Graph Signal Processing (Hardcover)

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.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Release date:	June 2022
Authors:	Antonio Ortega
Dimensions:	251 x 175 x 22mm (L x W x T)
Format:	Hardcover
Pages:	300
ISBN-13:	978-1-108-42813-2
Categories:	Books > Computing & IT > Computer communications & networking > General Books > Computing & IT > Applications of computing > Signal processing Books > Computing & IT > Applications of computing > Pattern recognition Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Books > Computing & IT > Applications of computing > Image processing > General
LSN:	1-108-42813-4
Barcode:	9781108428132

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