We use cookies to enhance your experience on our website. By continuing to use our website, you are agreeing to our use of cookies. You can change your cookie settings at any time. Find out more
  • Purchase
  • Send feedback
  • Also available as:

    Ebook

Cover

Modern Digital and Analog Communication

Fifth edition

B.P. Lathi and Zhi Ding

Publication Date - February 2018

ISBN: 9780190686840

1024 pages
Hardcover
8 x 10 inches

In Stock

Retail Price to Students: $199.95

A seamless blend of mathematics and heuristics with carefully crafted examples to clarify mathematical abstractions

Description

As engineering students become more and more aware of the important role that communication systems play in modern society, they are increasingly motivated to learn through experimenting with solid, illustrative examples. To captivate students' attention and stimulate their imaginations, Modern Digital and Analog Communication, Fifth Edition, places strong emphasis on connecting fundamental concepts of communication theory to students' daily experiences of communication technologies. The text provides highly relevant information on the operation and features of wireless cellular systems, Wi-Fi access, broadband Internet services, and more.

New to this Edition

  • A new focus on the theory and practice of broadly deployed digital communication systems
  • A reorganization of analog versus digital communications that emphasizes the digital communication aspects without weakening the fundamentals
  • More illustrative examples in Chapters 5, 6, 10, 12, and 13
  • New, expanded, and relevant examples of wireless communications
  • Strengthened MATLAB exercises in Chapters 2-5 and 9-13 on signal analysis and digital communications
  • Updated computer-based experimental practices to enhance interactive learning

About the Author(s)

B.P. Lathi is Professor Emeritus at California State University, Sacramento.

Zhi Ding is Professor of Electrical and Computer Engineering at University of California, Davis.

Reviews

"The biggest advantage of Modern Digital and Analog Communication is its accessible language and simple mathematical approaches that explain the difficult signal processing theories used in communication designs."--Shengli Fu, University of North Texas

"The writing style is excellent: to the point and readable. The text includes both a clear technical introduction and lively examples and explanations, which will help my students."--Xiaohua Li, Binghamton University

Table of Contents

    PREFACE

    1 INTRODUCTION
    1.1 COMMUNICATION SYSTEMS
    1.2 DESIGN CHALLENGES: CHANNEL DISTORTIONS AND NOISES
    1.3 MESSAGE SOURCES
    1.4 CHANNEL EFFECT, SIGNAL-TO-NOISE RATIO, AND CAPACITY
    1.5 MODULATION AND DETECTION
    1.6 DIGITAL SOURCE CODING AND ERROR CORRECTION CODING
    1.7 A BRIEF HISTORICAL REVIEW OF MODERN TELECOMMUNICATIONS

    2 SIGNALS AND SIGNAL SPACE
    2.1 SIZE OF A SIGNAL
    2.2 CLASSIFICATION OF SIGNALS
    2.3 SOME USEFUL SIGNAL OPERATIONS
    2.4 UNIT IMPULSE SIGNAL
    2.5 SIGNALS VERSUS VECTORS
    2.6 CORRELATION OF SIGNALS
    2.7 ORTHOGONAL SIGNAL SETS
    2.8 TRIGONOMETRIC FOURIER SERIES
    2.9 FREQUENCY DOMAIN AND EXPONENTIAL FOURIER SERIES
    2.10 MATLAB EXERCISES

    3 ANALYSIS AND TRANSMISSION OF SIGNALS
    3.1 FOURIER TRANSFORM OF SIGNALS
    3.2 TRANSFORMS OF SOME USEFUL FUNCTIONS
    3.3 SOME FOURIER TRANSFORM PROPERTIES
    3.4 SIGNAL TRANSMISSION THROUGH A LINEAR TIME-INVARIANT SYSTEM
    3.5 IDEAL VERSUS PRACTICAL FILTERS
    3.6 SIGNAL DISTORTION OVER A COMMUNICATION CHANNEL
    3.7 SIGNAL ENERGY AND ENERGY SPECTRAL DENSITY
    3.8 SIGNAL POWER AND POWER SPECTRAL DENSITY
    3.9 NUMERICAL COMPUTATION OF FOURIER TRANSFORM: THE DFT
    3.10 MATLAB EXERCISES

    4 ANALOG MODULATIONS AND DEMODULATIONS
    4.1 BASEBAND VERSUS CARRIER COMMUNICATIONS
    4.2 DOUBLE-SIDEBAND AMPLITUDE MODULATION
    4.3 AMPLITUDE MODULATION (AM)
    4.4 BANDWIDTH-EFFICIENT AMPLITUDE MODULATIONS
    4.5 FM AND PM: NONLINEAR ANGLE MODULATIONS
    4.6 BANDWIDTH ANALYSIS OF ANGLE MODULATIONS
    4.7 DEMODULATION OF FM SIGNALS
    4.8 FREQUENCY CONVERSION AND SUPERHETERODYNE
    4.9 GENERATING FM SIGNALS
    4.10 FREQUENCY DIVISION MULTIPLEXING (FDM)
    4.11 PHASE-LOCKED LOOP AND APPLICATIONS
    4.12 MATLAB EXERCISES

    5 DIGITIZATION OF ANALOG
    SOURCE SIGNALS
    5.1 SAMPLING THEOREM
    5.2 PULSE CODE MODULATION (PCM)
    5.3 DIGITAL TELEPHONY: PCM IN T1 CARRIER SYSTEMS
    5.4 DIGITAL MULTIPLEXING HIERARCHY
    5.5 DIFFERENTIAL PULSE CODE MODULATION (DPCM)
    5.6 DELTA MODULATION
    5.7 VOCODERS AND VIDEO COMPRESSION
    5.8 MATLAB EXERCISES

    6 PRINCIPLES OF DIGITAL DATA TRANSMISSION
    6.1 DIGITAL COMMUNICATION SYSTEMS
    6.2 BASEBAND LINE CODING
    6.3 PULSE SHAPING
    6.4 SCRAMBLING
    6.5 DIGITAL RECEIVERS AND REGENERATIVE REPEATERS
    6.6 EYE DIAGRAMS: AN IMPORTANT DIAGNOSTIC TOOL
    6.7 PAM: M-ARY BASEBAND SIGNALING
    6.8 DIGITAL CARRIER SYSTEMS
    6.9 M-ARY DIGITAL CARRIER MODULATION
    6.10 MATLAB EXERCISES

    7 FUNDAMENTALS OF PROBABILITY THEORY
    7.1 CONCEPT OF PROBABILITY
    7.2 RANDOM VARIABLES
    7.3 STATISTICAL AVERAGES (MEANS)
    7.4 CORRELATION
    7.5 LINEAR MEAN SQUARE ESTIMATION
    7.6 SUM OF RANDOM VARIABLES
    7.7 CENTRAL LIMIT THEOREM

    8 RANDOM PROCESSES AND SPECTRAL ANALYSIS
    8.1 FROM RANDOM VARIABLE TO RANDOM PROCESS
    8.2 CLASSIFICATION OF RANDOM PROCESSES
    8.3 POWER SPECTRAL DENSITY
    8.4 MULTIPLE RANDOM PROCESSES
    8.5 TRANSMISSION OF RANDOM PROCESSES THROUGH LINEAR SYSTEMS
    8.6 BANDPASS RANDOM PROCESSES

    9 PERFORMANCE ANALYSIS OF DIGITAL COMMUNICATION SYSTEMS
    9.1 OPTIMUM LINEAR DETECTOR FOR BINARY POLAR SIGNALING
    9.2 GENERAL BINARY SIGNALING
    9.3 COHERENT RECEIVERS FOR DIGITAL CARRIER MODULATIONS
    9.4 SIGNAL SPACE ANALYSIS OF OPTIMUM DETECTION
    9.5 VECTOR DECOMPOSITION OF WHITE NOISE RANDOM PROCESSES
    9.6 OPTIMUM RECEIVER FOR WHITE GAUSSIAN NOISE CHANNELS
    9.7 GENERAL ERROR PROBABILITY OF OPTIMUM RECEIVERS
    9.8 EQUIVALENT SIGNAL SETS
    9.9 NONWHITE (COLORED) CHANNEL NOISE
    9.10 OTHER USEFUL PERFORMANCE CRITERIA
    9.11 NONCOHERENT DETECTION
    9.12 MATLAB EXERCISES

    10 SPREAD SPECTRUM COMMUNICATIONS
    10.1 FREQUENCY HOPPING SPREAD SPECTRUM (FHSS) SYSTEMS
    10.2 MULTIPLE FHSS USER SYSTEMS AND PERFORMANCE
    10.3 APPLICATIONS OF FHSS
    10.4 DIRECT SEQUENCE SPREAD SPECTRUM
    10.5 RESILIENT FEATURES OF DSSS
    10.6 CODE DIVISION MULTIPLE-ACCESS (CDMA) OF DSSS
    10.7 MULTIUSER DETECTION (MUD)
    10.8 MODERN PRACTICAL DSSS CDMA SYSTEMS
    10.9 MATLAB EXERCISES

    11 DIGITAL COMMUNICATIONS OVER LINEARLY DISTORTIVE CHANNELS
    11.1 LINEAR DISTORTIONS OF WIRELESS MULTIPATH CHANNELS
    11.2 RECEIVER CHANNEL EQUALIZATION
    11.3 LINEAR T-SPACED EQUALIZATION (TSE)
    11.4 LINEAR FRACTIONALLY SPACED EQUALIZERS (FSE)
    11.5 CHANNEL ESTIMATION
    11.6 DECISION FEEDBACK EQUALIZER
    11.7 OFDM (MULTICARRIER) COMMUNICATIONS
    11.8 DISCRETE MULTITONE (DMT) MODULATIONS
    11.9 REAL-LIFE APPLICATIONS OF OFDM AND DMT
    11.10 BLIND EQUALIZATION AND IDENTIFICATION
    11.11 TIME-VARYING CHANNEL DISTORTIONS DUE TO MOBILITY
    11.12 MATLAB EXERCISES

    12 INTRODUCTION TO INFORMATION THEORY
    12.1 MEASURE OF INFORMATION
    12.2 SOURCE ENCODING
    12.3 ERROR-FREE COMMUNICATION OVER A NOISY CHANNEL
    12.4 CHANNEL CAPACITY OF A DISCRETE MEMORYLESS CHANNEL
    12.5 CHANNEL CAPACITY OF A CONTINUOUS MEMORYLESS CHANNEL
    12.6 FREQUENCY-SELECTIVE CHANNEL CAPACITY
    12.7 MULTIPLE-INPUT--MULTIPLE-OUTPUT COMMUNICATION SYSTEMS
    12.8 MATLAB EXERCISES

    13 ERROR CORRECTING CODES
    13.1 OVERVIEW
    13.2 REDUNDANCY FOR ERROR CORRECTION
    13.3 LINEAR BLOCK CODES
    13.4 CYCLIC CODES
    13.5 THE BENEFIT OF ERROR CORRECTION
    13.6 CONVOLUTIONAL CODES
    13.7 TRELLIS DIAGRAM OF BLOCK CODES
    13.8 CODE COMBINING AND INTERLEAVING
    13.9 SOFT DECODING
    13.10 SOFT-OUTPUT VITERBI ALGORITHM (SOVA)
    13.11 TURBO CODES
    13.12 LOW-DENSITY PARITY CHECK (LDPC) CODES
    13.13 MATLAB EXERCISES

    A. ORTHOGONALITY OF SOME SIGNAL SETS
    A.1 TRIGONOMETRIC SINUSOID SIGNAL SET
    A.2 ORTHOGONALITY OF THE EXPONENTIAL SINUSOID SIGNAL SET
    B. CAUCHY-SCHWARZ INEQUALITY
    C. GRAM-SCHMIDT ORTHOGONALIZATION OF A VECTOR SET
    D. BASIC MATRIX PROPERTIES AND OPERATIONS
    D.1 NOTATIONS
    D.2 MATRIX PRODUCT AND PROPERTIES
    D.3 IDENTITY AND DIAGONAL MATRICES
    D.4 DETERMINANT OF SQUARE MATRICES
    D.5 TRACE
    D.6 EIGENDECOMPOSITION
    D.7 SPECIAL HERMITIAN SQUARE MATRICES
    E MISCELLANEOUS
    E.1 L'ÔPITAL'S RULE
    E.2 TAYLOR AND MACLAURIN SERIES
    E.3 POWER SERIES
    E.4 SUMS
    E.5 COMPLEX NUMBERS
    E.6 TRIGONOMETRIC IDENTITIES
    E.7 INDEFINITE INTEGRALS

    INDEX

Related Titles