Lattice Coding for Signals and Networks
eBook - PDF

Lattice Coding for Signals and Networks

A Structured Coding Approach to Quantization, Modulation and Multiuser Information Theory

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Lattice Coding for Signals and Networks

A Structured Coding Approach to Quantization, Modulation and Multiuser Information Theory

About this book

Unifying information theory and digital communication through the language of lattice codes, this book provides a detailed overview for students, researchers and industry practitioners. It covers classical work by leading researchers in the field of lattice codes and complementary work on dithered quantization and infinite constellations, and then introduces the more recent results on 'algebraic binning' for side-information problems, and linear/lattice codes for networks. It shows how high dimensional lattice codes can close the gap to the optimal information theoretic solution, including the characterisation of error exponents. The solutions presented are based on lattice codes, and are therefore close to practical implementations, with many advanced setups and techniques, such as shaping, entropy-coding, side-information and multi-terminal systems. Moreover, some of the network setups shown demonstrate how lattice codes are potentially more efficient than traditional random-coding solutions, for instance when generalising the framework to Gaussian networks.

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Yes, you can access Lattice Coding for Signals and Networks by Ram Zamir,Ilai Bistritz in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Signals & Signal Processing. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half title
  3. Title
  4. Copyright
  5. Dedication
  6. Contents
  7. Preface
  8. Acknowledgements
  9. List of notation
  10. 1 Introduction
  11. 2 Lattices
  12. 3 Figures of merit
  13. 4 Dithering and estimation
  14. 5 Entropy-coded quantization
  15. 6 Infinite constellation for modulation
  16. 7 Asymptotic goodness
  17. 8 Nested lattices
  18. 9 Lattice shaping
  19. 10 Side-information problems
  20. 11 Modulo-lattice modulation
  21. 12 Gaussian networks
  22. 13 Error exponents
  23. Appendix
  24. References
  25. Index