A comprehensive guide to selected topics in information and coding theory. It covers topics including 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.

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.