| 000 | 01805nam a22002417a 4500 | ||
|---|---|---|---|
| 005 | 20260805150015.0 | ||
| 008 | 260303b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9781108428132 | ||
| 028 |
_a: Brijwasi Book Distributors _b: H-87, Lalita Park, Laxmi Nagar, Delhi _c: BW/000438 _d: 28/02/2026 |
||
| 028 |
_a: Brijwasi Book Distributors _b: H-87, Lalita Park, Laxmi Nagar, Delhi _c: BW/000555 _d: 11/05/2026 |
||
| 082 | _a621.382 ORT | ||
| 100 | _aOrtega, Antonio. | ||
| 245 |
_aIntroduction to Graph Signal Processing _c/ Antonio Ortega. |
||
| 260 |
_a, New York _b: Cambridge University Press _c, 2022. |
||
| 300 |
_a, xvii, 301p. _c: 24cm. |
||
| 365 | _b6319 | ||
| 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 | _aGraph Signal | ||
| 650 | _aSignal Processing | ||
| 650 | _aGraph signal processing | ||
| 700 | _aAntonio Ortega | ||
| 942 | _cBOOK | ||
| 999 |
_c67125 _d67125 |
||