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中图分类法:
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TN911.7 版次： |
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著者:
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Ortega, Antonio, |
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题名:
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Introduction to graph signal processing / / , |
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出版发行:
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出版地： Cambridge, United Kingdom : 出版社： Cambridge University Press, 出版日期： 2022. |
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载体形态:
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xvii, 301 pages : illustrations ; 25 cm |
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内容提要:
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"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."--Provided by publisher. |
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主题词:
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Signal processing. |