1. INTRODUCTION

1.1. COMMUNICATION SYSTEMS

1.2. ANALOG AND DIGITAL MESSAGES

1.3. CHANNEL EFFECT, SIGNAL-TO-NOISE RATIO, AND CAPACITY

1.4. MODULATION AND DETECTION

1.5. DIGITAL SOURCE CODING AND ERROR CORRECTION CODING

1.6. 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. THE EXPONENTIAL FOURIER SERIES

2.10. MATLAB EXERCISES

3. ANALYSIS AND TRANSMISSION OF SIGNALS

3.1. APERIODIC SIGNAL REPRESENTATION BY FOURIER INTEGRAL

3.2. TRANSFORMS OF SOME USEFUL FUNCTIONS

3.3. SOME PROPERTIES OF THE FOURIER TRANSFORM

3.4. SIGNAL TRANSMISSION THROUGH A LINEAR 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. AMPLITUDE 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. AMPLITUDE MODULATIONS: VESTIGIAL SIDEBAND (VSB)

4.6. LOCAL CARRIER SYNCHRONIZATION

4.7. FREQUENCY DIVISION MULTIPLEXING (FDM)

4.8. PHASE-LOCKED LOOP AND APPLICATIONS

4.9. NTSC TELEVISION BROADCASTING SYSTEM

4.10. MATLAB EXERCISES

5. ANGLE MODULATION AND DEMODULATION

5.1. NONLINEAR MODULATION

5.2. BANDWIDTH OF ANGLE-MODULATED WAVES

5.3. GENERATING FM WAVES

5.4. DEMODULATION OF FM SIGNALS

5.5. EFFECTS OF NONLINEAR DISTORTION AND INTERFERENCE

5.6. SUPERHETERODYNE ANALOG AM/FM RECEIVERS

5.7. FM BROADCASTING SYSTEM

5.8. MATLAB EXERCISES

6. SAMPLING AND ANALOG-TO-DIGITAL CONVERSION

6.1. SAMPLING THEOREM

6.2. PULSE CODE MODULATION (PCM)

6.3. DIGITAL TELEPHONY: PCM IN T1 CARRIER SYSTEMS

6.4. DIGITAL MULTIPLEXING

6.5. DIFFERENTIAL PULSE CODE MODULATION (DPCM)

6.6. ADAPTIVE DIFFERENTIAL PCM (ADPCM)

6.7. DELTA MODULATION

6.8. VOCODERS AND VIDEO COMPRESSION

6.9. MATLAB EXERCISES

7. PRINCIPLES OF DIGITAL DATA TRANSMISSION

7.1. DIGITAL COMMUNICATION SYSTEMS

7.2. LINE CODING

7.3. PULSE SHAPING

7.4. SCRAMBLING

7.5. DIGITAL RECEIVERS AND REGENERATIVE REPEATERS

7.6. EYE DIAGRAMS: AN IMPORTANT TOOL

7.7. PAM: M-ARY BASEBAND SIGNALING FOR HIGHER DATA RATE

7.8. DIGITAL CARRIER SYSTEMS

7.9. M-ARY DIGITAL CARRIER MODULATION

7.10. MATLAB EXERCISES

8. FUNDAMENTALS OF PROBABILITY THEORY

8.1. CONCEPT OF PROBABILITY

8.2. RANDOM VARIABLES

8.3. STATISTICAL AVERAGES (MEANS)

8.4. CORRELATION

8.5. LINEAR MEAN SQUARE ESTIMATION

8.6. SUM OF RANDOM VARIABLES

8.7. CENTRAL LIMIT THEOREM

9. RANDOM PROCESSES AND SPECTRAL ANALYSIS

9.1. FROM RANDOM VARIABLE TO RANDOM PROCESS

9.2. CLASSIFICATION OF RANDOM PROCESSES

9.3. POWER SPECTRAL DENSITY

9.4. MULTIPLE RANDOM PROCESSES

9.5. TRANSMISSION OF RANDOM PROCESSES THROUGH LINEAR SYSTEMS

9.6. APPLICATION: OPTIMUM FILTERING (WIENER-HOPF FILTER)

9.7. APPLICATION: PERFORMANCE ANALYSIS OF BASEBAND ANALOG SYSTEMS

9.8. APPLICATION: OPTIMUM PREEMPHASIS-DEEMPHASIS SYSTEMS

9.9. BANDPASS RANDOM PROCESSES

10. PERFORMANCE ANALYSIS OF MODULATED COMMUNICATION SYSTEMS UNDER NOISE

10.1. ANALYTICAL FIGURE OF MERIT

10.2. AMPLITUDE-MODULATED SYSTEMS

10.3. ANGLE-MODULATED SYSTEMS

10.4. PULSE-MODULATED SYSTEMS

11. PERFORMANCE ANALYSIS OF DIGITAL COMMUNICATION SYSTEMS

11.1. OPTIMUM LINEAR DETECTOR FOR BINARY POLAR SIGNALING

11.2. GENERAL BINARY SIGNALING

11.3. COHERENT RECEIVERS FOR DIGITAL CARRIER MODULATIONS

11.4. SIGNAL SPACE ANALYSIS OF OPTIMUM DETECTION

11.5. VECTOR DECOMPOSITION OF WHITE NOISE RANDOM PROCESSES

11.6. OPTIMUM RECEIVER FOR WHITE GAUSSIAN NOISE CHANNELS

11.7. GENERAL EXPRESSION FOR ERROR PROBABILITY OF OPTIMUM RECEIVERS

11.8. EQUIVALENT SIGNAL SETS

11.9. NONWHITE (COLORED) CHANNEL NOISE

11.10. OTHER USEFUL PERFORMANCE CRITERIA

11.11. NONCOHERENT DETECTION

11.12. MATLAB EXERCISES

12. SPREAD SPECTRUM COMMUNICATIONS

12.1. FREQUENCY HOPPING SPREAD SPECTRUM (FHSS) SYSTEMS

12.2. MULTIPLE FHSS USER SYSTEMS AND PERFORMANCE

12.3. APPLICATIONS OF FHSS

12.4. DIRECT SEQUENCE SPREAD SPECTRUM

12.5. RESILIENT FEATURES OF DSSS

12.6. CODE DIVISION MULTIPLE-ACCESS (CDMA) OF DSSS

12.7. MULTIUSER DETECTION (MUD)

12.8. MODERN PRACTICAL DSSS CDMA SYSTEMS

12.9. MATLAB EXERCISES

13. DIGITAL COMMUNICATIONS UNDER LINEARLY DISTORTIVE CHANNELS

13.1. LINEAR DISTORTIONS OF WIRELESS MULTIPATH CHANNELS

13.2. RECEIVER CHANNEL EQUALIZATION

13.3. LINEAR T-SPACED EQUALIZATION (TSE)

13.4. LINEAR FRACTIONALLY SPACED EQUALIZERS (FSE)

13.5. CHANNEL ESTIMATION

13.6. DECISION FEEDBACK EQUALIZER

13.7. OFDM (MULTICARRIER) COMMUNICATIONS

13.8. DISCRETE MULTITONE (DMT) MODULATIONS

13.9. REAL-LIFE APPLICATIONS Of OFDM AND DMT

13.10. BLIND EQUALIZATION AND IDENTIFICATION

13.11. TIME-VARYING CHANNEL DISTORTIONS DUE TO MOBILITY

13.12. MATLAB EXERCISES

14. INTRODUCTION TO INFORMATION THEORY

14.1. MEASURE OF INFORMATION

14.2. SOURCE ENCODING

14.3. ERROR-FREE COMMUNICATION OVER A NOISY CHANNEL

14.4. CHANNEL CAPACITY OF A DISCRETE MEMORYLESS CHANNEL

14.5. CHANNEL CAPACITY OF A CONTINUOUS MEMORYLESS CHANNEL

14.6. PRACTICAL COMMUNICATION SYSTEMS IN LIGHT OF SHANNON’S EQUATION

14.7. FREQUENCY-SELECTIVE CHANNEL CAPACITY

14.8. MULTIPLE-INPUT-MULTIPLE-OUTPUT COMMUNICATION SYSTEMS

14.9. MATLAB EXERCISES

15. ERROR CORRECTING CODES

15.1. OVERVIEW

15.2. REDUNDANCY FOR ERROR CORRECTION

15.3. LINEAR BLOCK CODES

15.4. CYCLIC CODES

15.5. THE EFFECTS OF ERROR CORRECTION

15.6. CONVOLUTIONAL CODES

15.7. TRELLIS DIAGRAM OF BLOCK CODES

15.8. CODE COMBINING AND INTERLEAVING

15.9. SOFT DECODING

15.10. SOFT-OUTPUT VITERBI ALGORITHM (SOVA)

15.11. TURBO CODES

15.12. LOW-DENSITY PARITY CHECK (LDPC) CODES

15.13. MATLAB EXERCISES