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Introduction to Graph Signal Processing (Hardcover)
Loot Price: R2,105
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Introduction to Graph Signal Processing (Hardcover)
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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.
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