Digital and Analog Communication Systems – León W. Couch – 8th Edition

Description

Continuing the tradition of the first through the seventh editions of Communication Systems, this eighth edition provides the latest up-to-date treatment of digital communication systems. It is written as a textbook for junior or senior students and is also appropriate for an introductory graduate course. It also provides a modern technical for the practicing electrical engineer.

A contains detailed solutions for over 100 selected end-of-the-chapter homework problems. For the selected problems that have solutions, MATLAB solution files are available for downloading here. You can download the Student Solutions Manual and the MATLAB files.

This revision of Couch’s authoritative text provides the latest treatment of digital communication systems. The author balances coverage of both communication systems, with an emphasis on design. Readers will gain a working of both classical and personal to analyze, design, and simulate modern communication systems. MATLAB is integrated throughout.

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  • Preface
    List of Symbols

    Chapter 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

    Chapter 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 Series0
    2—9 Bandwidth of Signals
    2—10 Summary
    2—11 Study-Aid Examples
    Problems

    Chapter 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

    Chapter 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

    Chapter 5 AM, FM, AND DIGITAL MODULATED SYSTEMS
    5—1 Amplitude Modulation
    5—2 AM Broadcast Technical Standards
    Digital AM Braodcasting
    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

    Chapter 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

    Chapter 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

    Chapter 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,-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 and Complex Numbers
    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 Functions
    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
    Answers to Selected Problems
    Index
  • Citation
    • Full Title: Digital and Analog Communication Systems
    • Author/s:
    • ISBN-10: 0132915383
    • ISBN-13: 9780132915380
    • Edition: 8th Edition
    • Topic: Electrical
    • Subtopic: Digital Signal Processing
    • File Type: Matlab Files | eBook | Solution Manual
    • Idioma: English

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