Coding Theory : Algorithms, Architectures And Applications

Description

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.