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.
By:
Ram Zamir (Tel-Aviv University) Illustrated by:
Ilai Bistritz Contributions by:
Bobak Nazer (Boston University), Yuval Kochman (Hebrew University of Jerusalem) Imprint: Cambridge University Press Country of Publication: United Kingdom Dimensions:
Height: 254mm,
Width: 180mm,
Spine: 24mm
Weight: 1.030kg ISBN:9780521766982 ISBN 10: 0521766982 Pages: 454 Publication Date:07 August 2014 Audience:
Professional and scholarly
,
Undergraduate
Format:Hardback Publisher's Status: Active
1. Introduction; 2. Lattices; 3. Figures of merit; 4. Dithering and estimation; 5. Entropy-coded quantization; 6. Infinite constellation for modulation; 7. Asymptotic goodness; 8. Nested lattices; 9. Lattice shaping; 10. Side-information problems; 11. Modulo-lattice modulation with Yuval Kochman; 12. Gaussian networks with Bobak Nazer; 13. Error exponents.
Ram Zamir is a Professor at the Department of Electrical Engineering at Tel-Aviv University, Israel. He consults in the areas of radar and communications (DSL and WiFi), and is the Chief Scientist of Celeno Communications.