Algebraic Coding Theory and Information Theory ( DIMACS - Series in Discrete Mathematics and Theoretical Computer Science )

Publication series ：DIMACS - Series in Discrete Mathematics and Theoretical Computer Science

Author： A. Ashikhmin;A. Barg

Publisher： American Mathematical Society‎

Publication year： 2017

E-ISBN: 9471470440251

P-ISBN(Paperback): 9780821836262

Subject： O1 Mathematics

Keyword：暂无分类

Language： ENG

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Algebraic Coding Theory and Information Theory

Description

Collected here are papers that were presented at or inspired by the DIMACS workshop, Algebraic Coding Theory and Information Theory (Rutgers University, Piscataway, NJ). Among the topics discussed are universal data compression, graph theoretical ideas in the construction of codes and lattices, decoding algorithms, and computation of capacity in various communications schemes. The book is suitable for graduate students and researchers interested in coding and information theory.

Chapter

Cover

Title page

Contents

Foreword

Preface

Fountain codes for lossless data compression

Applications of coding theory to universal lossless source coding performance bounds

Expander graphs and codes

Multilevel expander codes

Low density parity check lattices based on construction 𝐷′ and cycle-free Tanner graphs

Sparse factor graph representations of Reed-Solomon and related codes

Interpolation multiplicity assignment algorithms for algebraic soft-decision decoding of Reed-Solomon codes

On the capacity of two-dimensional weight-constrained memories

On networks of two-way channels

A new approach to the design of digital communication systems

Back Cover

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