Coding theory : algorithms, architectures, and applications /
Andre Neubauer, Jurgen Freudenberger and Volker Kuhn
- India Wiley 2007
- 340 p.
Coding Theory: Algorithms, Architectures and Applications provide a concise overview of channel coding theory and practice, as well as the accompanying signal processing architectures. The book is unique in presenting algorithms, architectures, and applications of coding theory in a unified framework. It covers the basics of coding theory before moving on to discuss algebraic linear block and cyclic codes, turbo codes and low density parity check codes and space-time codes. Coding Theory provides algorithms and architectures used for implementing coding and decoding strategies as well as coding schemes used in practice especially in communication systems. Introduction. · Communication Systems. · Information Theory. · Entropy. · Channel Capacity. · Binary Symmetric Channel. · AWGN Channel. · A Simple Channel Code. Algebraic Coding Theory. · Fundamentals of Block Codes. · Linear Block Codes. · Cyclic Codes. · Summary. Convolutional Codes. · Encoding of Convolutional Codes. · Trellis Diagram and Viterbi's Algorithm. · Distance Properties and Error Bounds. · Soft Input Decoding. · Soft Output Decoding. · Convolutional Coding in Mobile Communications. · Summary. Turbo Codes. · LDPC Codes. · A First Encounter with Code Concatenation. · Concatenated Convolutional Codes. · EXIT Charts. · Weight Distribution. · Woven Convolutional Codes. · Summary. Space-Time Codes. · Introduction. · Spatial Channels. · Performance Measures. · Orthogonal Space-Time Block Codes. · Spatial Multiplexing. · Summary.