Modern Digital and Analog Communication Systems, Fifth Edition (MDAC 5eXE), is the latest edition of the landmark communications systems textbook by one of electrical engineering's most prolific educators, B.P. Lathi, and co-author Zhi Ding. The Fifth Edition features over 200 fully worked-through examples incorporating current technology, an expansive amount of illustrations throughout the book, MATLAB codes throughout, and a full review of key signals and systems concepts.

B.P. Lathi is Professor Emeritus at California State University - Sacramento. An authorial impresario, he is the author of Signals and Systems (2000), Linear Systems and Signal Processing (2nd Edition 2004), Modern Digital and Analog Communication Systems (4th Edition 2009), and the forthcoming Digital Signal Processing (2014). Dr. Lathi is renowned for his excellent writing, and each of his books has found significant markets in the crowded upper-level electrical engineering segment.
Zhi Ding is the Child Family Endowed Professor of Engineering and Entrepreneurship, at University of California - Davis. His research contributions cover a broad range of signal processing and communication problems including wireless transceiver optimization, blind channel estimation and equalization, multi-input-multi-output communications, multiuser detection, source separation, adaptive signal processing, parameter estimation, radar target discrimination, multimedia wireless communications, and cross-layer
wireless communications. He has published over 200 refereed papers and book chapters. He received the IEEE Outstanding Instructor of the Year Award in 2002 for contributions to electrical engineering education from the IEEE student section in University of California, Davis.

• CONTENTS


• PREFACE xv


• 1 INTRODUCTION 1


• 1.1 COMMUNICATION SYSTEMS 2


• 1.2 DESIGN CHALLENGES: CHANNEL DISTORTIONS AND NOISES 3


• 1.3 MESSAGE SOURCES 4


• 1.4 CHANNEL EFFECT, SIGNAL-TO-NOISE RATIO, AND CAPACITY 8


• 1.5 MODULATION AND DETECTION 11


• 1.6 DIGITAL SOURCE CODING AND ERROR CORRECTION CODING 13


• 1.7 A BRIEF HISTORICAL REVIEW OF MODERN TELECOMMUNICATIONS 15


• 2 SIGNALS AND SIGNAL SPACE 21


• 2.1 SIZE OF A SIGNAL 21


• 2.2 CLASSIFICATION OF SIGNALS 26


• 2.3 SOME USEFUL SIGNAL OPERATIONS 29


• 2.4 UNIT IMPULSE SIGNAL 33


• 2.5 SIGNALS VERSUS VECTORS 36


• 2.6 CORRELATION OF SIGNALS 42


• 2.7 ORTHOGONAL SIGNAL SETS 47


• 2.8 TRIGONOMETRIC FOURIER SERIES 51


• 2.9 FREQUENCY DOMAIN AND EXPONENTIAL FOURIER SERIES 62


• 2.10 MATLAB EXERCISES 69


• 3 ANALYSIS AND TRANSMISSION OF SIGNALS 84


• 3.1 FOURIER TRANSFORM of SIGNALS 84


• 3.2 TRANSFORMS OF SOME USEFUL FUNCTIONS 90


• 3.3 SOME FOURIER TRANSFORM PROPERTIES 97


• 3.4 SIGNAL TRANSMISSION THROUGH A LINEAR TIME-INVARIANT SYSTEM 114


• 3.5 IDEAL VERSUS PRACTICAL FILTERS 119


• 3.6 SIGNAL DISTORTION OVER A COMMUNICATION CHANNEL 124


• 3.7 SIGNAL ENERGY AND ENERGY SPECTRAL DENSITY 128


• 3.8 SIGNAL POWER AND POWER SPECTRAL DENSITY 137


• 3.9 NUMERICAL COMPUTATION OF FOURIER TRANSFORM: THE DFT 145


• 3.10 MATLAB EXERCISES 150


• 4 ANALOGUE MODULATIONS AND DEMODULATIONS 167


• 4.1 BASEBAND VERSUS CARRIER COMMUNICATIONS 167


• 4.2 DOUBLE-SIDEBAND AMPLITUDE MODULATION 169


• 4.3 AMPLITUDE MODULATION (AM) 178


• 4.4 BANDWIDTH-EFFICIENT AMPLITUDE MODULATIONS 185


• 4.5 FM AND PM: NONLINEAR ANGLE MODULATIONS 199


• 4.6 BANDWIDTH ANALYSIS OF ANGLE MODULATIONS 205


• 4.7 DEMODULATION OF FM SIGNALS 213


• 4.8 FREQUENCY CONVERSION AND SUPERHETERODYNE RECEIVERS 215


• 4.9 GENERATING FM SIGNALS 218


• 4.10 FREQUENCY DIVISION MULTIPLEXING (FDM) 224


• 4.11 PHASE-LOCKED LOOP AND APPLICATIONS 225


• 4.12 MATLAB EXERCISES 233


• 5 DIGITISATION OF ANALOGUE SOURCE SIGNALS 255


• 5.1 SAMPLING THEOREM 255


• 5.2 PULSE CODE MODULATION (PCM) 270


• 5.3 DIGITAL TELEPHONY: PCM IN T1 SYSTEMS 282


• 5.4 DIGITAL MULTIPLEXING HIERARCHY 286


• 5.5 DIFFERENTIAL PULSE CODE MODULATION (DPCM) 291


• 5.6 DELTA MODULATION 296


• 5.7 MATLAB EXERCISES 301


• 6 PRINCIPLES OF DIGITAL DATA TRANSMISSION 317


• 6.1 DIGITAL COMMUNICATION SYSTEMS 317


• 6.2 BASEBAND LINE CODING 320


• 6.3 PULSE SHAPING 335


• 6.4 SCRAMBLING 347


• 6.5 DIGITAL RECEIVERS AND REGENERATIVE REPEATERS 350


• 6.6 EYE DIAGRAMS: AN IMPORTANT DIAGNOSTIC TOOL 360


• 6.7 PAM: M-ARY BASEBAND SIGNALLING 363


• 6.8 DIGITAL CARRIER SYSTEMS 366


• 6.9 M-ARY DIGITAL CARRIER MODULATION 368


• 6.10 MATLAB EXERCISE 374


• 7 FUNDAMENTALS OF PROBABILITY THEORY 388


• 7.1 CONCEPT OF PROBABILITY 388


• 7.2 RANDOM VARIABLES 404


• 7.3 STATISTICAL AVERAGES (MEANS) 423


• 7.4 CORRELATION 432


• 7.5 LINEAR MEAN SQUARE ESTIMATION 436


• 7.6 SUM OF RANDOM VARIABLES 439


• 7.7 CENTRAL LIMIT THEOREM 442


• 8 RANDOM PROCESSES AND SPECTRAL ANALYSIS 453


• 8.1 FROM RANDOM VARIABLE TO RANDOM PROCESS 453


• 8.2 CLASSIFICATION OF RANDOM PROCESSES 458


• 8.3 POWER SPECTRAL DENSITY 462


• 8.4 MULTIPLE RANDOM PROCESSES 477


• 8.5 TRANSMISSION OF RANDOM PROCESSES THROUGH LINEAR SYSTEMS 478


• 8.6 BANDPASS RANDOM PROCESSES 499


• 9 PERFORMANCE ANALYSIS OF DIGITAL COMMUNICATION SYSTEMS 523


• 9.1 OPTIMUM LINEAR DETECTOR FOR BINARY POLAR SIGNALLING 523


• 9.2 GENERAL BINARY SIGNALLING 529


• 9.3 COHERENT RECEIVERS FOR DIGITAL CARRIER MODULATIONS 537


• 9.4 SIGNAL SPACE ANALYSIS OF OPTIMUM DETECTION 542


• 9.5 VECTOR DECOMPOSITION OF WHITE NOISE RANDOM PROCESSES 547


• 9.6 OPTIMUM RECEIVER FOR WHITE GAUSSIAN NOISE CHANNELS 553


• 9.7 GENERAL ERROR PROBABILITY OF OPTIMUM RECEIVERS 578


• 9.8 NONWHITE (COLOURED) CHANNEL NOISE 587


• 9.9 OTHER USEFUL PERFORMANCE CRITERIA 587


• 9.10 NONCOHERENT DETECTION 591


• 9.11 MATLAB EXERCISES 599


• 10 SPREAD SPECTRUM COMMUNICATIONS 618


• 10.1 FREQUENCY HOPPING SPREAD SPECTRUM (FHSS) SYSTEMS 618


• 10.2 MULTIPLE FHSS USER SYSTEMS AND PERFORMANCE 622


• 10.3 APPLICATIONS OF FHSS 625


• 10.4 DIRECT SEQUENCE SPREAD SPECTRUM 629


• 10.5 RESILIENT FEATURES OF DSSS 632


• 10.6 CODE DIVISION MULTIPLE-ACCESS (CDMA) OF DSSS 634


• 10.7 MULTIUSER DETECTION (MUD) 642


• 10.8 MODERN PRACTICAL DSSS CDMA SYSTEMS 648


• 10.9 MATLAB EXERCISES 657


• 11 DIGITAL COMMUNICATIONS OVER LINEARLY DISTORTIVE CHANNELS 673


• 11.1 LINEAR DISTORTIONS OF WIRELESS MULTIPATH CHANNELS 673


• 11.2 RECEIVER CHANNEL EQUALISATION 677


• 11.3 LINEAR T-SPACED EQUALISATION (TSE) 683


• 11.4 LINEAR FRACTIONALLY SPACED EQUALISERS (FSE) 693


• 11.5 CHANNEL ESTIMATION 698


• 11.6 DECISION FEEDBACK EQUALISER 699


• 11.7 OFDM (MULTICARRIER) COMMUNICATIONS 702


• 11.8 REAL-LIFE APPLICATIONS OF OFDM AND DMT 714


• 11.9 BLIND EQUALISATION AND IDENTIFICATION 719


• 11.10 TIME-VARYING CHANNEL DISTORTIONS DUE TO MOBILITY 720


• 11.11 MATLAB EXERCISES 723


• 12 INTRODUCTION TO INFORMATION THEORY 744


• 12.1 MEASURE OF INFORMATION 744


• 12.2 SOURCE ENCODING 748


• 12.3 ERROR-FREE COMMUNICATION OVER A NOISY CHANNEL 754


• 12.4 CHANNEL CAPACITY OF A DISCRETE MEMORYLESS CHANNEL 757


• 12.5 CHANNEL CAPACITY OF A CONTINUOUS MEMORYLESS CHANNEL 764


• 12.6 MULTIPLE-INPUT-MULTIPLE-OUTPUT COMMUNICATION SYSTEMS 781


• 12.7 MATLAB EXERCISES 790


• 13 ERROR CORRECTING CODES 802


• 13.1 OVERVIEW 802


• 13.2 REDUNDANCY FOR ERROR CORRECTION 803


• 13.3 LINEAR BLOCK CODES 806


• 13.4 CYCLIC CODES 813


• 13.5 THE BENEFIT OF ERROR CORRECTION 823


• 13.6 CONVOLUTIONAL CODES 827


• 13.7 TRELLIS DIAGRAM OF BLOCK CODES 837


• 13.8 CODE COMBINING AND INTERLEAVING 838


• 13.9 SOFT DECODING 841


• 13.10 SOFT-OUTPUT VITERBI ALGORITHM (SOVA) 843


• 13.11 TURBO CODES 845


• 13.12 LOW-DENSITY PARITY CHECK (LDPC) CODES 854


• 13.13 MATLAB EXERCISES 860


• APPENDICES


• A ORTHOGONALITY OF SOME SIGNAL SETS 875


• A.1 TRIGONOMETRIC SINUSOID SIGNAL SET 875


• A.2 ORTHOGONALITY OF THE EXPONENTIAL SINUSOID SIGNAL SET 876


• B CAUCHY-SCHWARZ INEQUALITY 877


• C GRAM-SCHMIDT ORTHOGONALISATION OF A VECTOR SET 878


• INDEX 881