Introduction to graph signal processing / (Record no. 84079)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02100nam a2200325 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | CR9781108552349 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730160733.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 170919s2022||||enk o ||1 0|eng|d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781108552349 (ebook) |
| 082 00 - CLASSIFICATION NUMBER | |
| Call Number | 621.382/2 |
| 100 1# - AUTHOR NAME | |
| Author | Ortega, Antonio, |
| 245 10 - TITLE STATEMENT | |
| Title | Introduction to graph signal processing / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource (xvii, 301 pages) : |
| 500 ## - GENERAL NOTE | |
| Remark 1 | Title from publisher's bibliographic system (viewed on 07 Apr 2022). |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1017/9781108552349 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cambridge : |
| -- | Cambridge University Press, |
| -- | 2022. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Signal processing. |
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