Digital Communication

I: THE BASICS.- 1 Introduction.- 1.1 Applications of Digital Communication.- 1.2 Digital vs. Analog Communication.- 1.3 Plan of the Book.- 1.4 Further Reading.- 2 Deterministic Signal Processing.- 2.1 Signals.- 2.2 LTI Systems and Fourier Transforms.- 2.3 The Nyquist Sampling Theorem.- 2.4 Linear Modulation.- 2.5 The Z Transform and Laplace Transform.- 2.6 Signal Space Representations.- 2.7 Further Reading.- 2-A Summary of Fourier Transform Properties.- 3 Stochastic Signal Processing.- 3.1 Random Variables.- 3.2 Random Processes.- 3.3 Markov Chain.- 3.4 The Poisson Process and Queueing.- 3.5 Further Reading.- 3-A Power Spectrum of A Cyclostationary Process.- 3-B Power Spectrum of A Markov Chain.- 3-C Derivation of Poisson Process.- 3-D Moment Generating Function of Shot Noise.- 4 Boundaries of Communication.- 4.1 Just Enough Information About Entropy.- 4.2 Capacity of Discrete-Time Channels.- 4.3 Continuous-Time Channels.- 4.4 Further Reading.- 4-A Asymptotic Equipartition Theorem.- 5 Physical Media and Channels.- 5.1 Composite Channels.- 5.2 Transmission Lines.- 5.3 Optical Fiber.- 5.4 Microwave Radio.- 5.5 Telephone Channels.- 5.6 Magnetic Recording Channels.- 5.7 Further Reading.- II: Modulation and Detection.- 6 Modulation.- 6.1 An Overview of Basic Pam Techniques.- 6.2 Pulse Shapes.- 6.3 Baseband Pam.- 6.4 Passbandpam.- 6.5 Performance of Pam and Alphabet Design.- 6.6 Frequency Shift Keying.- 6.7 Optical Fiber Reception.- 6.8 Magnetic Recording.- 6.9 Further Reading.- 6-A Modulating Random Processes.- 7 Detection.- 7.1 Detection of A Single Real-Valued Symbol.- 7.2 Detection of A Signal Vector.- 7.3 Discrete-Time Matched Filter.- 7.4 Sequence Detection - the Viterbi Algorithm.- 7.5 Further Reading.- 7-A General ML and MAP Sequence Detectors.- 7-B Bit Error Probability For Sequencec DETECTORS.- 8 Intersymbol Interference.- 8.1 Known Signals In Noise.- 8.2 Detection of Passbandc Signals.- 8.3 Matched Filter at Receiver Front End.- 8.4 The Linear Equalizer.- 8.5 Fractionally Spaced Equalizers.- 8.6 Decision-Feedback Equalizer.- 9 Adaptive Equalization.- 9.1 Constrained-Complexity Equalizers.- 9.2 Adaptive Linear Equalizer.- 9.3 Adaptive Dfe.- 9.4 Fractionally Spaced Equalizer.- 9.5 Passband Equalization.- 9.6 Further Reading.- 9-A SG Algorithm Error Vector Norm.- III: Coding.- 10 Spectrum Control.- 10.1 Goalsc of Line Codes.- 10.2 Line Code Options.- 10.3 Partial Response.- 10.4 Continuous-Phase Modulation.- 10.5 Scrambling.- 10.6 Spread-Spectrum.- 10.7 Further Reading.- 10-A Maximal-Length Feedback Shift Registers.- 11 Error Control.- 11.1 Block Codes.- 11.2 Convolutional Codes.- 11.3 Historical Notes and Further Reading.- 11-A Linearity of Codes.- 11-B Path Enumerators.- 12 Trellis Coding.- 12.1 Basic Trellis Codes.- 12.2 Performance.- 12.3 More Elaborate Trellis Codes.- 12.4 Trellis Codes and Adaptive Filters.- 12.5 Further Reading.- IV: Synchronization.- 13 Phase-Lockedc Loops.- 13.1 Ideal Continuous-Time Pll.- 13.2 Discrete-Time Plls.- 13.3 Phase Detectors.- 13.4 Variations On A Theme: VCOs.- 13.5 Further Reading.- 14 Carrier Recovery.- 14.1 Decision-Directed Carrier Recovery.- 14.2 Power Of N Carrier Recovery.- 14.3 Further Reading.- 15 Timing Recovery.- 15.1 Timing Recovery Performance.- 15.2 Spectral-Line Methods.- 15.3 MMSE Timing Recovery and Approximations.- 15.4 Baud-Rate Timing Recovery.- 15.5 Accumulation of Timing Jitter.- 15.6 Further Reading.- 15-A The Poisson Sum Formula.- 15-B Discrete-Time Derivative.- V: Multiple Access.- 16 Multiple Access Alternatives.- 16.1 Medium Topology For Multiplec Access.- 16.2 Multiple Access By Time Division.- 16.3 Multiple Access By Frequency Division.- 16.4 Multiple Access By Code Division.- 17 Multiplexing.- 17.1 Framing Recovery.- 17.2 Synchronous Multiplexing.- 17.3 Asynchronous Multiplexing.- 17.4 Further Reading.- 18 Echo Cancellation.- 18.1 Principle of the Echo Canceler.- 18.2 Baseband Channel.- 18.3 Passband Channel.- 18.4 Adaptation.- 18.5 Far-End Echo.- 18.6 Fu