McGraw-Hill Higher Education

Table of Contents

Preface

  1. Introduction
    1. Elements of a Digital Communication System
    2. Communication Channels and Their Characteristics
    3. Mathematical Methods for Communication Channels
    4. A Historical Perspective in the Development of Digital Communications
    5. Overview of the Book
  2. Probability and Stochastic Processes
    1. Probability
    2. Stochastic Processes
  3. Source Coding
    1. Mathematical Models for Information Sources
    2. A Logarithmic Measure of Information
    3. Coding for Discrete Sources
    4. Coding for Analog Sources Optimum Quantization
    5. Coding Techniques for Analog Sources
  4. Characterization of Communication Signals and Systems
    1. Representation of Band-Pass Signals and Systems
    2. Signal Space Representations
    3. Representation of Digitally Modulated Signals
    4. Spectral Characteristics of Digitally Modulated Signals
  5. Optimum Receivers for the Additive White Gaussian Noise Channel
    1. Optimum Receiver for Signals Corrupted by Additive White Gaussian Noise
    2. Performance of the Optimum Receiver for Memoryless Modulation
    3. Optimum Receiver for CPM Signals
    4. Optimum Receiver for Signals with Random Phase in AWGN Channel
    5. Performance Analysis for Wireline and Radio Communication Systems
  6. Carrier and Symbol Synchronization
    1. Signal Parameter Estimation
    2. Carrier Phase Estimation
    3. Symbol Timing Estimation
    4. Joint Estimation of Carrier Phase and Symbol Timing
  7. Channel Capacity and Coding
    1. Channel Models and Channel Capacity
    2. Random Selection of Codes
    3. Communication System Design Based on the Cutoff Rate
  8. Block and Convolutional Channel Codes
    1. Linear Block Codes
    2. Convolutional Codes
    3. Coded Modulation for Bandwidth-Constrained Channels Trellis-Coded Modulation
  9. Signal Design for Band-Limited Channels
    1. Characterization of Band-Limited Channels
    2. Signal Design for Band-Limited Channels
    3. Probability of Error in Detection of PAM
    4. Modulation Codes for Spectrum Shaping
  10. Communication Through Band-Limited Linear Filter Channels
    1. Optimum Receiver for Channels with ISI and AWGN
    2. Linear Equalization
    3. Decision-Feedback Equalization
    4. Reduced Complexity ML Detectors
    5. Iterative Equalization and Decoding Turbo Equalization
  11. Adaptive Equalization
    1. Adaptive Linear Equalization
    2. Adaptive Decision-Feedback Equalizer
    3. Adaptive Equalization of Trellis-Coded Signals
    4. Recursive Least-Squares Algorithms for Adaptive Equalization
    5. Self-Recovering (Blind) Equalization
  12. Multichannel and Multicarrier Systems
    1. Multichannel Digital Communications in AWGN Channels
    2. Multicarrier Communications
  13. Spread Spectrum Signals for Digital Communications
    1. Model of Spread Spectrum Digital Communication System
    2. Direct Sequence Spread Spectrum Signals
    3. Frequency-Hopped Spread Spectrum Signals
    4. Other Types of Spread Spectrum Signals
    5. Synchronization of Spread Spectrum Systems
  14. Digital Communications through Fading Multipath Channels
    1. Characterization of Fading Multipath Channels
    2. The Effect of Signal Characteristics on the Choice of a Channel Model
    3. Frequency-Nonselective, Slowly Fading Channel
    4. Diversity Techniques for Fading Multipath Channels
    5. Digital Signaling over a Frequency-Selective, Slowly Fading Channel
    6. Coded Waveforms for Fading Channels
    7. Multiple-Antenna Systems
  15. Multiuser Communications
    1. Introduction to Multiple Access Techniques
    2. Capacity of Multiple Access Methods
    3. Code-Division Multiple Access
    4. Random Access Methods

Appendix A The Levinson-Durbin Algorithm

Appendix B Error Probability for Multichannel Binary Signals

Appendix C Error Probabilities for Adaptive Reception of M-Phase Signals

Appendix D Square-Root Factorization

References and Bibliography

Index

 
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