1st Edition

Digital Communications and Signal Processing

Edited By K. Vasudevan Copyright 2008
    304 Pages
    by CRC Press

    Examining the topic from both a theoretical and practical perspective, this book covers a wide variety of topics in digital communications. Notable features include expression of the probability of error in terms of the Euclidean distance instead of the usual EbIN0 adoption of a new approach to the Viterbi algorithm that does not assume any knowledge of the encoder starting and ending states, discussions on constellation shaping, shell mapping algorithm and root-raised cosine pulse shaping, and a unified approach to continuous phase frequency modulation where M-ary FSK and MSK are special cases. The book is well suited for a senior undergraduate to a graduate level course in communications theory. The accompanying CD-ROM containing C programs on Viterbi algorithm, shell mapping and turbo codes will aid the student in understanding these topics better.

    Contents
    Introduction
    Overview of the Book
    Bibliography

    Communicating with Points


    Coherent Detectors for Two-Dimensional Constellations
    Coherent Detectors for Multidimensional Orthogonal Constellations
    Bi-Orthogonal Constellations
    Simplex Constellations
    Noncoherent Detectors for Multidimensional Orthogonal Constellations
    Noncoherent Detectors for M-ary PSK
    Coherent Detectors in Colored Noise
    Coherent Detectors for Frequency Nonselective (Flat) Fading Channels
    Summary

    Channel Coding


    Introduction
    The Convolutional Encoder
    Are the Encoded Symbols Correlated?
    Hard-Decision Decoding of Convolutional Codes
    Soft-Decision Decoding of Convolutional Codes
    Trellis Coded Modulation (TCM)
    Maximization of the Shape Gain
    Constellation Shaping by Shell Mapping
    Turbo Codes
    Summary
    Transmission of Signals Through Distortionless Channels
    Linear Modulation
    Nonlinear Modulation
    Summary
    Transmission of Signals Through Distorting Channels
    Receivers Based on Equalization
    Receivers Based on Maximum Likelihood Sequence Estimation (MLSE)
    Multicarrier Communication
    Summary
    Appendices

    Biography

    K. Vasudevan