Transitions from Digital Communications to Quantum Communications : Concepts and Prospects.

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This book addresses the move towards quantum communications, in light of the recent technological developments on photonic crystals and their potential applications in systems. The authors present the state of the art on extensive quantum communications, the first part of the book being dedicated to...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Benslama, Malek
Otros Autores: Batatia, Hadj, Messai, Abderraouf
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken : Wiley, 2016.
Colección:Networks and telecommunications series.
Temas:
Digital communications.
Quantum communication.
Transmission numérique.
Communication quantique.
TECHNOLOGY & ENGINEERING > Mechanical.
Digital communications
Quantum communication
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Table of Contents; Dedication; Title; Copyright; Foreword; Preface; Introduction; List of Acronyms; PART 1: Theory; 1 Non-linear Signal Processing; 1.1. Distributions; 1.2. Variance; 1.3. Covariance; 1.4. Stationarity; 1.5. Bayes inference; 1.6. Tensors in signal processing; 1.7. Processing the quantum signal; 2 Non-Gaussian Processes; 2.1. Defining Gaussian processes; 2.2. Non-Gaussian processes; 2.3. Principal component analysis or Karhunen-Loève transformation; 2.4. Sparse Gaussian processes; 2.5. Levy process; 2.6. Links with quantum communications; 3 Sparse Signals and Compressed Sensing.
  • 3.1. Sparse Signals3.2. Compressed sensing; 3.3. Compressed sensing and quantum signal; 4 The Fourier Transform; 4.1. The Classic Fourier Transform; 4.2. The Discreet Fourier Transform and the Fast Fourier Transform; 4.3. The Fourier Transform and hyper-functions; 4.4. Hilbert Transform; 4.5. Clifford algebra and the Fourier Transform; 4.6. Spinors and quantum signals; 5 The Contribution of Arithmetic to Signal Processing; 5.1. Gauss sums; 5.2. Applications for Gauss sums; 6 Riemannian Geometry and Signal Processing; 6.1. Context; 6.2. Riemannian varieties; 6.3. Voronoi cells.
  • 6.4. Applications to Voronoi cellsPART 2: Applications; 7 MIMO Systems; 7.1. Introduction; 7.2. A brief history of OFDM; 7.3. Multi-carrier technology; 7.4. OFDM technique; 7.5. Generating OFDM symbols; 7.6. Inter-symbol and inter-carrier interference; 7.7. Cyclic prefix; 7.8. Mathematical model of the OFDM system; 7.9. MIMO channels; 7.10. The MIMO channel model; 7.11. MIMO OFDM channel model; 8 Minimizing Interferences in DS-CDMA Systems; 8.1. Convolutional encoding; 8.2. Structure of convolutive codes; 8.3. Polynomial representation; 8.4. Graphic representations of convolutive codes.
  • 8.5. Decoding algorithms8.6. Discreet Wavelet Transform (DWT); 8.7. Construction and discreet filtering; 8.8. Defining the wavelet function: the place of detail; 8.9. Wavelets and filter banks; 8.10. Thresholding coefficients; 8.11. Simulating results; 9 STAP Radar; 9.1. Introduction; 9.2. Space-time adaptive processing (STAP); 9.3. Structure of the covariance matrix; 9.4. Clutter; 9.5. Optimal STAP; 9.6. Performance measures; 9.7. Influence of the radar's parameters on detection; 9.8. Sample matrix inversion algorithm (SMI); 9.9. Conclusion.
  • 10 Tracking Radar (Using the Dempster-Shafer Theory)10.1. Introduction; 10.2. Dempster-Shafer theory; 10.3. Rules of combination; 10.4. Decision rules; 10.5. Digital simulation; 10.6. Conclusion; 11 InSAR Radar; 11.1. Introduction; 11.2. Coherence; 11.3. System model; 11.4. Inferometric phase statistics; 11.5. Quantitative examples; 11.6. Conclusion; 12 Telecommunications Networks; 12.1. Introduction; 12.2. Describing the ad hoc simulated network's topology; 12.3. The different scenarios enacted; 12.4. The statistics collected; 12.5. Discussion of results.

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