01755nam a22002177a 450000500170000000800410001702000180005802801010007602801010017708200160027810000210029424500630031526000540037830000270043236500090045952009820046865000170145065000220146765000280148970000200151720260805150015.0260303b        |||||||| |||| 00| 0 eng d  a9781108428132  a: Brijwasi Book Distributorsb: H-87, Lalita Park, Laxmi Nagar, Delhic: BW/000438d: 28/02/2026  a: Brijwasi Book Distributorsb: H-87, Lalita Park, Laxmi Nagar, Delhic: BW/000555d: 11/05/2026  a621.382 ORT  aOrtega, Antonio.  aIntroduction to Graph Signal Processingc/ Antonio Ortega.  a, New Yorkb: Cambridge University Pressc, 2022.  a, xvii, 301p.c: 24cm.  b6319  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.  aGraph Signal  aSignal Processing  aGraph signal processing  aAntonio Ortega