Compressed sensing: theory and applications
Compressed sensing is an exciting, rapidly growing field, attracting considerable attention in electrical engineering, applied mathematics, statistics and computer science. This book provides the first detailed introduction to the subject, highlighting recent theoretical advances and a range of appl...
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| Other Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2012
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| Subjects: | |
| Online Access: | DE-12 DE-92 DE-29 Volltext |
| Summary: | Compressed sensing is an exciting, rapidly growing field, attracting considerable attention in electrical engineering, applied mathematics, statistics and computer science. This book provides the first detailed introduction to the subject, highlighting recent theoretical advances and a range of applications, as well as outlining numerous remaining research challenges. After a thorough review of the basic theory, many cutting-edge techniques are presented, including advanced signal modeling, sub-Nyquist sampling of analog signals, non-asymptotic analysis of random matrices, adaptive sensing, greedy algorithms and use of graphical models. All chapters are written by leading researchers in the field, and consistent style and notation are utilized throughout. Key background information and clear definitions make this an ideal resource for researchers, graduate students and practitioners wanting to join this exciting research area. It can also serve as a supplementary textbook for courses on computer vision, coding theory, signal processing, image processing and algorithms for efficient data processing |
| Physical Description: | 1 Online-Ressource |
| ISBN: | 9780511794308 |
| DOI: | 10.1017/CBO9780511794308 |
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| id | DE-604.BV043944632 |
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| indexdate | 2025-01-31T19:06:40Z |
| institution | BVB |
| isbn | 9780511794308 |
| language | English |
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| spelling | Compressed sensing theory and applications edited by Yonina C. Eldar, Gitta Kutyniok Cambridge Cambridge University Press 2012 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Compressed sensing is an exciting, rapidly growing field, attracting considerable attention in electrical engineering, applied mathematics, statistics and computer science. This book provides the first detailed introduction to the subject, highlighting recent theoretical advances and a range of applications, as well as outlining numerous remaining research challenges. After a thorough review of the basic theory, many cutting-edge techniques are presented, including advanced signal modeling, sub-Nyquist sampling of analog signals, non-asymptotic analysis of random matrices, adaptive sensing, greedy algorithms and use of graphical models. All chapters are written by leading researchers in the field, and consistent style and notation are utilized throughout. Key background information and clear definitions make this an ideal resource for researchers, graduate students and practitioners wanting to join this exciting research area. It can also serve as a supplementary textbook for courses on computer vision, coding theory, signal processing, image processing and algorithms for efficient data processing Signal processing Wavelets (Mathematics) Compressed sensing (Telecommunication) Signaltheorie (DE-588)4054945-8 gnd rswk-swf Signalverarbeitung (DE-588)4054947-1 gnd rswk-swf Informationstheorie (DE-588)4026927-9 gnd rswk-swf Messtechnik (DE-588)4114575-6 gnd rswk-swf Messtechnik (DE-588)4114575-6 s Signalverarbeitung (DE-588)4054947-1 s 1\p DE-604 Informationstheorie (DE-588)4026927-9 s Signaltheorie (DE-588)4054945-8 s 2\p DE-604 Eldar, Yonina C. 1973- (DE-588)1043849696 edt Kutyniok, Gitta 1972- (DE-588)1043849793 edt Erscheint auch als Druck-Ausgabe, Hardcover 978-1-107-00558-7 https://doi.org/10.1017/CBO9780511794308 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Compressed sensing theory and applications Signal processing Wavelets (Mathematics) Compressed sensing (Telecommunication) Signaltheorie (DE-588)4054945-8 gnd Signalverarbeitung (DE-588)4054947-1 gnd Informationstheorie (DE-588)4026927-9 gnd Messtechnik (DE-588)4114575-6 gnd |
| subject_GND | (DE-588)4054945-8 (DE-588)4054947-1 (DE-588)4026927-9 (DE-588)4114575-6 |
| title | Compressed sensing theory and applications |
| title_auth | Compressed sensing theory and applications |
| title_exact_search | Compressed sensing theory and applications |
| title_full | Compressed sensing theory and applications edited by Yonina C. Eldar, Gitta Kutyniok |
| title_fullStr | Compressed sensing theory and applications edited by Yonina C. Eldar, Gitta Kutyniok |
| title_full_unstemmed | Compressed sensing theory and applications edited by Yonina C. Eldar, Gitta Kutyniok |
| title_short | Compressed sensing |
| title_sort | compressed sensing theory and applications |
| title_sub | theory and applications |
| topic | Signal processing Wavelets (Mathematics) Compressed sensing (Telecommunication) Signaltheorie (DE-588)4054945-8 gnd Signalverarbeitung (DE-588)4054947-1 gnd Informationstheorie (DE-588)4026927-9 gnd Messtechnik (DE-588)4114575-6 gnd |
| topic_facet | Signal processing Wavelets (Mathematics) Compressed sensing (Telecommunication) Signaltheorie Signalverarbeitung Informationstheorie Messtechnik |
| url | https://doi.org/10.1017/CBO9780511794308 |
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