000			01419 a2200181 4500
003			OSt
020			_a9781108428132
040			_cIIT Kanpur
041			_aeng
082			_a621.3822 _bOr8i
100			_aOrtega, Antonio
245			_aIntroduction to graph signal processing _cAntonio Ortega
260			_bCambridge University Press _c2022 _aCambridge
300			_axvii, 301p
520			_aAn 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.
650			_aSignal processing
942			_cBK
999			_c566936 _d566936