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| To the Instructor | |
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| When Is a Digital Radio Like an Onion? | |
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| A Digital Radio | |
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| A Digital Radio | |
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| An Illustrative Design | |
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| The Complete Onion | |
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| The Component Architecture Layer | |
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| A Telecommunication System | |
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| Electromagnetic Transmission of Analog Waveforms | |
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| Bandwidth | |
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| Upconversion at the Transmitter | |
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| Frequency Division Multiplexing | |
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| Filters that Remove Frequencies | |
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| Analog Downconversion | |
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| Analog Core of Digital Communication System | |
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| Sampling at the Receiver | |
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| Digital Communications Around an Analog Core | |
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| Pulse Shaping | |
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| Synchronization | |
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| Equalization | |
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| Decisions and Error Measures | |
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| Coding and Decoding | |
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| A Telecommunication System | |
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| For Further Reading | |
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| The Five Elements | |
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| Finding the Spectrum of a Signal | |
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| The First Element: Oscillators | |
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| The Second Element: Linear Filters | |
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| The Third Element: Samplers | |
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| The Fourth Element: Static Nonlinearities | |
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| The Fifth Element: Adaptation | |
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| Summary | |
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| For Further Reading | |
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| The Idealized System Layer | |
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| Modelling Corruption | |
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| When Bad Things Happen to Good Signals | |
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| Linear Systems: Linear Filters | |
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| The Delta "Function" | |
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| Convolution in Time: It's What Linear Systems Do | |
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| Convolution <=> Multiplication | |
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| Improving SNR | |
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| For Further Reading | |
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| Analog (De)modulation | |
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| Amplitude Modulation with Large Carrier | |
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| Amplitude Modulation with Suppressed Carrier | |
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| Quadrature Modulation | |
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| Injection to Intermediate Frequency | |
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| For Further Reading | |
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| Sampling with Automatic Gain Control | |
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| Sampling and Aliasing | |
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| Downconversion via Sampling | |
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| Exploring Sampling in MATLAB | |
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| Interpolation and Reconstruction | |
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| Iteration and Optimization | |
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| An Example of Optimization: Polynomial Minimization | |
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| Automatic Gain Control | |
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| Using an AGC to Combat Fading | |
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| Summary | |
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| For Further Reading | |
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| Digital Filtering and The DFT | |
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| Discrete Time and Discrete Frequency | |
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| Practical Filtering | |
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| For Further Reading | |
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| Bits to Symbols to Signals | |
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| Bits to Symbols | |
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| Symbols to Signals | |
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| Correlation | |
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| Receive Filtering: From Signals to Symbols | |
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| Frame Synchronization: From Symbols to Bits | |
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| Stuff Happens | |
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| An Ideal Digital Communication System | |
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| Simulating the Ideal System | |
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| Flat Fading: A Simple Impairment and a Simple Fix | |
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| Other Impairments: More "What Ifs" | |
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| The Adaptive Component Layer | |
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| Carrier Recovery | |
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| Phase and Frequency Estimation via an FFT | |
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| Squared Difference Loop | |
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| The Phase Locked Loop | |
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| The Costas Loop | |
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| Decision-Directed Phase Tracking | |
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| Frequency Tracking | |
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| For Further Reading | |
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| Pulse Shaping and Receive Filtering | |
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| Spectrum of the Pulse: Spectrum of the Signal | |
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| Intersymbol Interference | |
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| Eye Diagrams | |
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| Nyquist Pulses | |
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| Matched Filtering | |
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| Matched Transmit and Receive Filters | |
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| Timing Recovery | |
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| The Problem of Timing Recovery | |
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| An Example | |
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| Decision-Directed Timing Recovery | |
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| Timing Recovery via Output Power Maximization | |
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| Two Examples | |
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| For Further Reading | |
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| Linear Equalization | |
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| Multipath Interference | |
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| Trained Least-Squares Linear Equalization | |
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| An Adaptive Approach to Trained Equalization | |
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| Decision-Directed Linear Equalization | |
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| Dispersion-Minimizing Linear Equalization | |
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| Examples and Observations | |
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| For Further Reading | |
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| Coding | |
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| What is Information? | |
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| Redundancy | |
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| Entropy | |
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| Channel Capacity | |
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| Source Coding | |
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| Channel Coding | |
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| Encoding a Compact Disc | |
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| For Further Reading | |
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| The Integration Layer | |
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| Mix'n'match Receiver Design | |
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| How the Received Signal Is Constructed | |
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| A Design Methodology for the M[superscript 6] Receiver | |
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| The M[superscript 6] Receiver Design Challenge | |
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| For Further Reading | |
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| Transforms, Identities, and Formulas | |
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| Trigonometric Identities | |
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| Fourier Transforms and Properties | |
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| Energy and Power | |
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| Z-Transforms and Properties | |
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| Integral and Derivative Formulas | |
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| Matrix Algebra | |
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| Simulating Noise | |
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| Envelope of a Bandpass Signal | |
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| Relating the Fourier Transform to the DFT | |
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| The Fourier Transform and Its Inverse | |
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| The DFT and the Fourier Transform | |
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| Power Spectral Density | |
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| Relating Difference Equations to Frequency Response and Intersymbol Interference | |
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| Z-Transforms | |
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| Sketching the Frequency Response from the Z-Transform | |
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| Measuring Intersymbol Interference | |
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| Averages and Averaging | |
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| Averages and Filters | |
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| Derivatives and Filters | |
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| Differentiation Is a Technique, Approximation Is an Art | |
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| Index | |