- ホーム
- > 洋書
- > 英文書
- > Computer / General
Full Description
The last few years have witnessed rapid advancements in information and coding theory research and applications. This book provides a comprehensive guide to selected topics, both ongoing and emerging, in information and coding theory. Consisting of contributions from well-known and high-profile researchers in their respective specialties, topics that are covered include source coding; channel capacity; linear complexity; code construction, existence and analysis; bounds on codes and designs; space-time coding; LDPC codes; and codes and cryptography.All of the chapters are integrated in a manner that renders the book as a supplementary reference volume or textbook for use in both undergraduate and graduate courses on information and coding theory. As such, it will be a valuable text for students at both undergraduate and graduate levels as well as instructors, researchers, engineers, and practitioners in these fields.
Contents
Linear Complexity and Related Complexity Measures; Asymptotic Theory of Algebraic Geometry Codes; Some Algebraic and Combinatorial Methods of Code Constructions; Variable Length Codes and Finite Automata; Applications of Universal Source Coding to Statistical Analysis of Time Series; Decoding and Finding the Minimum Distance with Grobner Bases: History and New Insights; Coding Theory and Algebraic Combinatorics; Cooperative Diversity Systems for Wireless Communication; Introduction to Network Coding for Acyclic and Cyclic Networks; Distributed Space-Time Codes with Low ML Decoding Complexity; Construction of High Coding Gain Lattices with Low Decoding Complexity; Distributed Joint Source-Channel Coding on a Multiple Access Channel; Algebraic Coding from Matrix and Group Rings: Block Codes; LDPC and Convolutional Codes from Matrix and Group Rings; Public Key Cryptography and Coding Theory; Low-Density Parity-Check Codes.
