Compressed Sensing in Lifi and Wifi Networks.
San Diego: Elsevier Science, 2017
Online
Buch
- 1 online resource (257 pages)
Zugriff:
Front Cover -- Compressed Sensing in LiFi and WiFi Networks -- Copyright Page -- Contents -- Preface -- List of Acronyms -- Introduction -- 1. Shannon's Theorem in Classic Data Processing -- 1.1. Introduction -- 1.2. Shannon's theorem -- 1.3. Shannon's capacity channel -- 1.4. Sampling -- 1.5. Shannon's theorem in cryptography -- 2. Shannon's Theorem in Quantum Data -- 2.1. Introduction -- 2.2. Definition of quantum entropy -- 2.3. The Holevo bound -- 2.4. Quantum aspects of compressed sensing -- 2.5. Compressibility and capacity -- 2.6. Conclusion -- 3. Sparse Signals and Compressed Sensing -- 3.1. Introduction -- 3.2. Definition of sparse decomposition -- 3.3. Sparse signals -- 3.4. Compressed sensing and optimization -- 3.5. Reconstructing the sparse signal -- 4. Compressed Sensing and the Fourier Transform -- 4.1. Introduction -- 4.2. Fast SFT -- 4.3. Random matrices in compressed sensing -- 4.4. Conclusion -- 5. Compressed Sensing and Entanglement -- 5.1. Introduction -- 5.2. Uncertainty relationships -- 5.3. Phantom images -- 5.4. Sparsity in practice -- 5.5. Chaotic and quantum encryption software -- 6. [WITHDRAWN] Compressed Sensing and Intelligent LiFi Systems -- 7. Compressed Sensing in LiFi Systems in Mobile Communications and Cryptography -- 7.1. Introduction -- 7.2. Applications in digital communications: estimating the channel in OFDM systems -- 7.3. An application in cryptography: the SAC-OCDMA system -- 7.6. Conclusion -- 8. Compressed Sensing in WiFi Systems -- 8.1. Preliminaries on compressed sensing in WiFi systems -- 8.2. Interconnection of WiMAX mobile and satellite DVBS/ -- 9. Compressed Sensing in Interconnections Covering WiMAX, UMTS and MANET Satellite Networks -- 9.1. Introduction -- 9.2. Heterogeneous networks -- 9.3. Demands of heterogeneous networks -- 9.4. Other interconnection methods.
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Compressed Sensing in Lifi and Wifi Networks.
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Autor/in / Beteiligte Person: | Benslama, Malek ; Batatia, Hadj ; Hatem, Mokhtari |
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Veröffentlichung: | San Diego: Elsevier Science, 2017 |
Medientyp: | Buch |
Umfang: | 1 online resource (257 pages) |
ISBN: | 978-0-08-101968-9 (print) ; 978-1-78548-200-7 (print) |
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