現(xiàn)代通信系統(tǒng)（英文版）

Preface xv
CHAPTER
Introduction
1.1 Elements of a Communication System
1.2 Communication Channels
1.2.1 Coaxial Cable
1.2.2 Optical Fibers
1.2.3 Radio Channels
1.3 Analog and Digital Communication Systems
1.3.1 Digital Communication Systems
1.3.2 Why Digital Transmission？
1.4 History of Communications
1.4.1 Wireless Communications
1.5 Key Themes and Drivers
Final Remarks
Further Readings
CHAPTER 2
Review of Signals and Linear Systems
2.1 Basic Signal Concepts
2.1.1 Some Useful Basic Signals
2.1.2 Energy and Power Signals
2.1.3 Logarithmic Power Calculations
2.1.4 Some Basic Operations on Signals
2.2 Basic System Concepts
2.2.1 Classification of Systems
2.2.2 Characterization of LTI Systems
2.3 Frequency Domain Representation
2.4 Fourier Series
2.4.1 Trigonometric Fourier Series
2.4.2 Parseval’s Theorem
2.4.3 Convergence of Fourier Series
2.5 Fourier Transform
2.5.1 Fourier Transforms of Some Common Signals
2.5.2 Properties of Fourier Transform
2.5.3 Fourier Transforms of Periodic Signals
2.6 Time-Bandwidth Product
2.7 Transmission of Signals Through LTI Systems
2.7.1 Distortionless Transmission
2.8 LTI Systems as Frequency Selective Filters
2.8.1 Ideal Filters
2.8.2 Realizable Approximations to Ideal Filters
2.8.3 Analog Filter Design Using MATLAB
2.9 Power Spectral Density
2.9.1 Time-Average Autocorrelation Function
2.9.2 Relationship Between Input and Output Power Spectral Densities
2.10 Frequency Response Characteristics of Transmission Media
2.10.1 Twisted Wire Pairs
2.10.2 Coaxial Cable
2.11 Fourier Transforms for Discrete-Time Signals
Final Remarks
Further Readings
Problems
MATLAB Problems
CHAPTER 3
Simulation of Communication Systems Using MATLAB/Simulink
3.1 Getting Started in Simulink
3.1.1 Solvers
3.2 Modeling in Simulink
3.2.1 Subsystems
3.3 Simulation of Signal and Noise Sources
3.3.1 Deterministic Signals
3.3.2 Random Signals
3.3.3 Modeling of AWGN Channel
3.4 Modeling of Communication Systems
3.4.1 Time-Domain Modeling
3.4.2 Transform-Domain Description
3.5 Displaying Signals in Frequency Domain
3.6 Using Simulink with MATLAB
3.6.1 Running Simulations from MATLAB
Final Remarks
Further Readings
CHAPTER 4
Amplitude Modulation
4.1 Low-Pass and Bandpass Signals
4.2 Double-Sideband Suppressed-Carrier AM
4.2.1 Spectrum of the DSB-SC AM Signal
4.2.2 Demodulation of DSB-SC AM Signals
Experiment 4.1 DSB-SC AM Modulation and Demodulation
4.3 Conventional Amplitude Modulation
4.3.1 Spectrum of the Conventional AM Signal
4.3.2 Demodulation of Conventional AM Signal
Experiment 4.2 Conventional AM Modulation and Demodulation
4.4 Alternative Representations for BP Signals and Systems
4.4.1 Frequency Spectrum of Complex Envelope and Analytic Representations
4.4.2 Complex Envelope Representation of BP Systems
4.5 Single-Sideband AM
4.5.1 Demodulation of SSB-AM Signals
Experiment 4.3 SSB-AM Modulation and Demodulation
4.6 Vestigial-Sideband AM
4.7 Quadrature Multiplexing
4.8 Multiplexing
4.8.1 Frequency Division Multiplexing
4.9 Frequency Translation and Selection
4.9.1 Down-Conversion Mixer
4.9.2 Image-Reject Mixers
4.10 Communication Receivers
4.10.1 Superheterodyne Receivers
4.10.2 Direct-Conversion Receivers
4.10.3 Low-IF Receiver Architectures
Final Remarks
Further Readings
Problems
MATLAB Problems
APPENDIX 4A： Hilbert Transform
CHAPTER 5
Angle Modulation
5.1 FM and PM Signals
5.1.1 FM and PM Signals with Sinusoidal Modulating Signal
5.1.2 Power in Angle-Modulated Signal
5.2 Spectrum of Angle-Modulated Signals
5.2.1 Bandwidth of a Sinusoidally Modulated FM Signal
5.2.2 Bandwidth of an FM Signal Modulated by Arbitrary Message Signal
5.3 Narrowband FM
5.4 Demodulation of Angle-Modulated Signals
5.4.1 Bandpass Limiter
5.4.2 Frequency Discriminator
Experiment 5.1 Simulink Model of an FM System with Frequency Discriminator
Experiment 5.2 FM Demodulation with Balanced Slope Detector
5.4.3 Phase-shift Discriminator： Quadrature Detector
5.5 Phase-Locked Loop
5.5.1 Analog Phase-Locked Loop
5.5.2 APLL Linear Model