Digital & Analog Communication Systems
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Digital & Analog Communication Systems: International Edition

Digital & Analog Communication Systems: International Edition


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About the Book

For junior- to senior-level introductory communication systems courses for undergraduates, or an introductory graduate course.   This revision of Couch’s authoritative text provides the latest treatment of digital communication systems. The author balances coverage of both digital and analog communication systems, with an emphasis on design. Students will gain a working knowledge of both classical mathematical and personal computer methods to analyze, design, and simulate modern communication systems. MATLAB is integrated throughout.

Table of Contents:
LIST OF SYMBOLS   1 INTRODUCTION   1—1 Historical Perspective 1—2 Digital and Analog Sources and Systems 1—3 Deterministic and Random Waveforms 1—4 Organization of the Book 1—5 Use of a Personal Computer and MATLAB 1—6 Block Diagram of a Communication System 1—7 Frequency Allocations 1—8 Propagation of Electromagnetic Waves 1—9 Information Measure 1—10 Channel Capacity and Ideal Communication Systems 1—11 Coding             Block Codes             Convolutional Codes             Code Interleaving             Code Performance             Trellis-Coded Modulation 1—12 Preview 1—13 Study-Aid Examples Problems   2 SIGNALS AND SPECTRA   2—1 Properties of Signals and Noise             Physically Realizable Waveforms             Time Average Operator             DC Value             Power             RMS Value and Normalized Power             Energy and Power Waveforms             Decibel             Phasors 2—2 Fourier Transform and Spectra             Definition             Properties of Fourier Transforms             Parseval’s Theorem and Energy Spectral Density             Dirac Delta Function and Unit Step Function             Rectangular and Triangular-Pulses             Convolution 2—3 Power Spectral Density and Autocorrelation Function             Power Spectral Density             Autocorrelation Function 2—4 Orthogonal Series Representation of Signals and Noise             Orthogonal Functions             Orthogonal Series 2—5 Fourier Series             Complex Fourier Series             Quadrature Fourier Series             Polar Fourier Series             Line Spectra for Periodic Waveforms             Power Spectral Density for Periodic Waveforms 2—6 Review of Linear Systems             Linear Time-Invariant Systems             Impulse Response             Transfer Function             Distortionless Transmission             Distortion of Audio, Video, and Data Signals 2—7 Bandlimited Signals and Noise             Bandlimited Waveforms             Sampling Theorem             Impulse Sampling and Digital Signal Processing (DSP)             Dimensionality Theorem 2—8 Discrete Fourier Transform             Using the DFT to Compute the Continuous Fourier Transform             Using the DFT to Compute the Fourier Series 2—9 Bandwidth of Signals 2—10 Summary 2—11 Study-Aid Examples Problems   3 BASEBAND PULSE AND DIGITAL SIGNALING   3—1 Introduction 3—2 Pulse Amplitude Modulation             Natural Sampling (Gating)             Instantaneous Sampling (Flat-Top PAM) 3—3 Pulse Code Modulation             Sampling, Quantizing, and Encoding,             Practical PCM Circuits             Bandwidth of PCM Signals             Effects of Noise             Nonuniform Quantizing:  -Law and A-Law Companding             V.90 56-kb/s PCM Computer Modem 3—4 Digital Signaling             Vector Representation             Bandwidth Estimation             Binary Signaling             Multilevel Signaling 3—5 Line Codes and Spectra             Binary Line Coding             Power Spectra for Binary Line Codes             Differential Coding             Eye Patterns             Regenerative Repeaters             Bit Synchronization             Power Spectra for Multilevel Polar NRZ Signals             Spectral Efficiency 3—6 Intersymbol Interference             Nyquist’s First Method (Zero ISI)             Raised Cosine-Rolloff Nyquist Filtering             Nyquist’s Second and Third Methods for Control of ISI 3—7 Differential Pulse Code Modulation 3—8 Delta Modulation             Granular Noise and Slope Overload Noise             Adaptive Delta Modulation and Continuously Variable Slope             Delta Modulation             Speech Coding 3—9 Time-Division Multiplexing             Frame Synchronization             Synchronous and Asynchronous Lines             TDM Hierarchy             The T1 PCM System 3—10 Packet Transmission System 3—11 Pulse Time Modulation: Pulse Width Modulation and Pulse Position Modulation 3—12 Summary 3—13 Study-Aid Examples Problems   4 BANDPASS SIGNALING PRINCIPLES AND CIRCUITS   4—1 Complex Envelope Representation of Bandpass Waveforms             Definitions: Baseband, Bandpass, and Modulation             Complex Envelope Representation 4—2 Representation of Modulated Signals 4—3 Spectrum of Bandpass Signals 4—4 Evaluation of Power 4—5 Bandpass Filtering and Linear Distortion             Equivalent Low-Pass Filter             Linear Distortion 4—6 Bandpass Sampling Theorem 4—7 Received Signal Plus Noise 4—8 Classification of Filters and Amplifiers             Filters             Amplifiers 4—9 Nonlinear Distortion 4—10 Limiters 4—11 Mixers, Up Converters, and Down Converters 4—12 Frequency Multipliers 4—13 Detector Circuits             Envelope Detector             Product Detector             Frequency Modulation Detector 4—14 Phase-Locked Loops and Frequency Synthesizers 4—15 Direct Digital Synthesis 4—16 Transmitters and Receivers             Generalized Transmitters             Generalized Receiver: The Superheterodyne Receiver             Zero-IF Receivers             Interference 4—17 Software Radios 4—18 Summary 4—19 Study-Aid Examples Problems   5 AM, FM, AND DIGITAL MODULATED SYSTEMS 5—1 Amplitude Modulation 5—2 AM Broadcast Technical Standards             Digital AM Broadcasting 5—3 Double-Sideband Suppressed Carrier 5—4 Costas Loop and Squaring Loop 5—5 Asymmetric Sideband Signals             Single Sideband             Vestigial Sideband 5—6 Phase Modulation and Frequency Modulation             Representation of PM and FM signals             Spectra of Angle-Modulated Signals             Narrowband Angle Modulation             Wideband Frequency Modulation             Preemphasis and Deemphasis in Angle-Modulated Systems 5—7 Frequency-Division Multiplexing and FM Stereo 5—8 FM Broadcast Technical Standards             Digital FM Braodcasting 5—9 Binary Modulated Bandpass Signaling             On-Off Keying (OOK)             Binary-Phase-Shift Keying (BPSK)             Differential Phase-Shift Keying (DPSK)             Frequency-Shift Keying (FSK) 5—10 Multilevel Modulated Bandpass Signaling             Quadrature Phase-Shift Keying (QPSK) and M-ary Phase-Shift Keying (MPSK)             Quadrature Amplitude Modulation (QAM)             OQPSK and  /4 QPSK             PSD for MPSK, QAM, QPSK, OQPSK and  /4 QPSK             Spectral Efficiency for MPSK, QAM, QPSK, OQPSK, and  /4 QPSK with Raised Cosine Filtering 5—11 Minimum-Shift Keying (MSK) and GMSK 5—12 Orthogonal Frequency Division Multiplexing (OFDM) 5—13 Spread Spectrum Systems             Direct Sequence             Frequency Hopping             SS Frequency Bands 5—14 Summary 5—15 Study-Aid Examples Problems   6 RANDOM PROCESSES AND SPECTRAL ANALYSIS 6—1 Some Basic Definitions             Random Processes             Stationarity and Ergodicity             Correlation Functions and Wide-Sense Stationarity             Complex Random Processes 6—2 Power Spectral Density             Definition             Wiener-Khintchine Theorem             Properties of the PSD             General Formula for the PSD of Digital Signals             White Noise Processes             Measurement of PSD 6—3 Dc and Rms Values for Ergodic Random Processes 6—4 Linear Systems             Input-Output Relationships 6—5 Bandwidth Measures             Equivalent Bandwidth             Rms Bandwidth 6—6 The Gaussian Random Process             Properties of Gaussian Processes 6—7 Bandpass Processes             Bandpass Representations             Properties of WSS Bandpass Processes             Proofs of Some Properties 6—8 Matched Filters             General Results             Results for White Noise             Correlation Processing             Transversal Matched Filter 6—9 Summary 6—10 Appendix: Proof of Schwarz’s Inequality 6—11 Study-Aid Examples Problems   7 PERFORMANCE OF COMMUNICATION SYSTEMS             CORRUPTED BY NOISE 7—1 Error Probabilities for Binary Signaling             General Results             Results for Gaussian Noise             Results for White Gaussian Noise and Matched-Filter Reception             Results for Colored Gaussian Noise and Matched-Filter Reception 7—2 Performance of Baseband Binary Systems             Unipolar Signaling             Polar Signaling             Bipolar Signaling 7—3 Coherent Detection of Bandpass Binary Signals             On-Off Keying             Binary-Phase-Shift Keying             Frequency-Shift Keying 7—4 Noncoherent Detection of Bandpass Binary Signals             On-Off Keying             Frequency-Shift Keying             Differential Phase-Shift Keying 7—5 Quadrature Phase-Shift Keying and Minimum-Shift Keying 7—6 Comparison of Digital Signaling Systems             Bit Error Rate and Bandwidth             Symbol Error and Bit Error for Multilevel Signaling             Synchronization 7—7 Output Signal-to-Noise Ratio for PCM Systems 7—8 Output Signal-to-Noise Ratios for Analog Systems             Comparison with Baseband Systems             AM Systems with Product Detection             AM Systems with Envelope Detection             DSB-SC Systems             SSB Systems             PM Systems             FM Systems             FM Systems with Threshold Extension             FM Systems with Deemphasis 7—9 Comparison of Analog Signaling Systems             Ideal System Performance 7—10 Summary 7—11 Study-Aid Examples Problems   8 WIRE AND WIRELESS COMMUNICATION SYSTEMS 8—1 The Explosive Growth of Telecommunications 8—2 Telephone Systems             Historical Basis             Modern Telephone Systems and Remote Terminals 8—3 Digital Subscriber Lines (DSL)             G.DMT and G.Lite Digital Subscriber Lines             Video On Demand (VOD)             Integrated Service Digital Network (ISDN) 8—4 Capacities of Public Switched Telephone Networks 8—5 Satellite Communication Systems             Digital and Analog Television Transmission             Data and Telephone Signal Multiple Access             Satellite Radio Broadcasting 8—6 Link Budget Analysis             Signal Power Received             Thermal Noise Sources             Characterization of Noise Sources             Noise Characterization of Linear Devices             Noise Characterization of Cascaded Linear Devices             Link Budget Evaluation             Eb/N0 Link Budget for Digital Systems             Path Loss for Urban Wireless Environments 8—7 Fiber Optic Systems 8—8 Cellular Telephone Systems             First Generation (1G)–The AMPS Analog System             Second Generation (2G)–The Digital Systems             The 1,900-MHz Band PCS Systems             Status of 2G Networks             Third Generation (3G) Systems 8—9 Television             Black-and-White Television             MTS Stereo Sound             Color Television             Standards for TV and CATV Systems             Digital TV (DTV) 8—10 Cable Data Modems 8—11 Wireless Data Networks             Wi-Fi             Wi-Max 8—12 Summary 8—13 Study-Aid Examples Problems   APPENDIX A MATHEMATICAL TECHNIQUES, IDENTITIES, AND TABLES A—1 Trigonometry and Complex Numbers             Definitions             Trigonometric Identities A—2 Differential Calculus             Definition             Differentiation Rules             Derivative Table A—3 Indeterminate Forms A—4 Integral Calculus             Definition             Integration Techniques A—5 Integral Tables             Indefinite Integrals             Definite Integrals A—6 Series Expansions             Finite Series             Infinite Series A—7 Hilbert Transform Pairs A—8 The Dirac Delta Function             Properties of Dirac Delta Function A—9 Tabulation of Sa(x)   (sin x)/x A—10 Tabulation of Q(z )   APPENDIX B PROBABILITY AND RANDOM VARIABLES B—1 Introduction B—2 Sets B—3 Probability and Relative Frequency             Simple Probability             Joint Probability             Conditional Probabilities B—4 Random Variables B—5 Cumulative Distribution Functions and             Probability Density Functions             Properties of CDFs and PDFs             Discrete and Continuous Distributions B—6 Ensemble Average and Moments             Ensemble Average             Moments B—7 Examples of Important Distributions             Binomial Distribution             Poisson Distribution             Uniform Distribution             Gaussian Distribution             Sinusoidal Distribution B—8 Functional Transformations of Random Variables B—9 Multivariate Statistics             Multivariate CDFs and PDFs             Bivariate Statistics             Gaussian Bivariate Distribution             Multivariate Functional Transformation             Central Limit Theorem             Problems   APPENDIX C USING MATLAB C—1 Quick Start for Running M-Files C—2 Programming in MATLAB   REFERENCES   INDEX


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Product Details
  • ISBN-13: 9780132037945
  • Publisher: Pearson Education (US)
  • Publisher Imprint: Pearson
  • Height: 178 mm
  • No of Pages: 784
  • Sub Title: International Edition
  • Width: 232 mm
  • ISBN-10: 0132037947
  • Publisher Date: 20 Aug 2009
  • Binding: Paperback
  • Language: English
  • Spine Width: 33 mm
  • Weight: 990 gr


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