Textbook
An Introduction to Analog and Digital Communications, 2nd EditionJanuary 2006, ©2007

Description
Given the highly mathematical nature of communication theory, it is rather easy for the reader to lose sight of the practical side of communication systems. Throughout the book, the authors have made a special effort to move through the mathematical treatment at an easytograsp level, and also to point out the practical relevance of the theory wherever it is appropriate to do so. Drs. Haykin’s other text, Communication Systems reaches out to a higher level of math rigor. Also, Introduction to Digital and Analog Communications, 2e offers the probability coverage later in the book (chapter 8) since probability theory is not critical to the understanding of modulation. This also contributes to the accessible approach of the text.
Introduction to Digital and Analog Communications, 2e is selfcontained and suited for a one or twosemester course in communication systems taken by Electrical Engineering juniors or seniors. The book offers flexibility for organizing the course material to suit the interests of course professors and students.
Reviewer Quotes:
My current textbook by Proakis/Salehi: Communication Systems
Engineering, 2e did not meet my student’s capabilities and
expectations. The textbook is too complicated and overloaded with
heavy mathematical equations. The material is not always logically
presented. Not to mention, there is 800 pages of text. I was
impressed with Haykin/Moher’s: Introduction to Digital and
Analog Communications, 2e and the straightforward comprehensive
material coverage of the basic principles of communication theory.
Also, the text is logically written with easy to follow and
understand mathematical equations and examples. Absolutely, I would
like to use this textbook for my communications systems class as
soon as it will be possible.” Andrei
Petrov Idaho State University
“ Overall, I found the concepts are clearly explained, the
chapters are well motivated by their introductions, “Lessons
to be learned” at the beginning of each chapter are
particularly appealing, and concluded with well put
summaries. A very wellwritten introductory text to grasp the
basics of communication systems.” Aylin YenerPenn State
University
Table of Contents
Chapter 1 Introduction 1
1.1 Historical Background 1
1.2 Applications 4
1.3 Primary Resources and Operational Requirements 13
1.4 Underpinning Theories of Communication Systems 14
1.5 Concluding Remarks 16
Chapter 2 Fourier Representation of Signals and Systems 18
2.1 The Fourier Transform 19
2.2 Properties of the Fourier Transform 25
2.3 The Inverse Relationship Between Time and Frequency 39
2.4 Dirac Delta Function 42
2.5 Fourier Transforms of Periodic Signals 50
2.6 Transmission of Signals Through Linear Systems: Convolution Revisited 52
2.7 Ideal Lowpass Filters 60
2.8 Correlation and Spectral Density: Energy Signals 70
2.9 Power Spectral Density 79
2.10 Numerical Computation of the Fourier Transform 81
2.11 Theme Example: Twisted Pairs for Telephony 89
2.12 Summary and Discussion 90
Additional Problems 91
Advanced Problems 98
Chapter 3 Amplitude Modulation 100
3.1 Amplitude Modulation 101
3.2 Virtues, Limitations, and Modifications of Amplitude Modulation 113
3.3 Double SidebandSuppressed Carrier Modulation 114
3.4 Costas Receiver 120
3.5 QuadratureCarrier Multiplexing 121
3.6 SingleSideband Modulation 123
3.7 Vestigial Sideband Modulation 130
3.8 Baseband Representation of Modulated Waves and BandPass Filters 137
3.9 Theme Examples 142
3.10 Summary and Discussion 147
Additional Problems 148
Advanced Problems 150
Chapter 4 Angle Modulation 152
4.1 Basic Definitions 153
4.2 Properties of AngleModulated Waves 154
4.3 Relationship between PM and FM Waves 159
4.4 NarrowBand Frequency Modulation 160
4.5 WideBand Frequency Modulation 164
4.6 Transmission Bandwidth of FM Waves 170
4.7 Generation of FM Waves 172
4.8 Demodulation of FM Signals 174
4.9 Theme Example: FM Stereo Multiplexing 182
4.10 Summary and Discussion 184
Additional Problems 185
Advanced Problems 187
Chapter 5 Pulse Modulation: Transition from Analog to Digital Communications 190
5.1 Sampling Process 191
5.2 PulseAmplitude Modulation 198
5.3 PulsePosition Modulation 202
5.4 Completing the Transition from Analog to Digital 203
5.5 Quantization Process 205
5.6 PulseCode Modulation 206
5.7 Delta Modulation 211
5.8 Differential PulseCode Modulation 216
5.9 Line Codes 219
5.10 Theme Examples 220
5.11 Summary and Discussion 225
Additional Problems 226
Advanced Problems 228
Chapter 6 Baseband Data Transmission 231
6.1 Baseband Transmission of Digital Data 232
6.2 The Intersymbol Interference Problem 233
6.3 The Nyquist Channel 235
6.4 RaisedCosine Pulse Spectrum 238
6.5 Baseband Transmission of Mary Data 245
6.6 The Eye Pattern 246
6.7 Computer Experiment: Eye Diagrams for Binary and Quaternary Systems 249
6.8 Theme Example: Equalization 251
6.9 Summary and Discussion 256
Additional Problems 257
Advanced Problems 259
Chapter 7 Digital BandPass Modulation Techniques 262
7.1 Some Preliminaries 262
7.2 Binary AmplitudeShift Keying 265
7.3 PhaseShift Keying 270
7.4 FrequencyShift Keying 281
7.5 Summary of Three Binary Signaling Schemes 289
7.6 Noncoherent Digital Modulation Schemes 291
7.7 Mary Digital Modulation Schemes 295
7.8 Mapping of Digitally Modulated Waveforms onto Constellations of Signal Points 299
7.9 Theme Examples 302
7.10 Summary and Discussion 307
Additional Problems 309
Advanced Problems 310
Computer Experiments 312
Chapter 8 Random Signals and Noise 313
8.1 Probability and Random Variables 314
8.2 Expectation 326
8.3 Transformation of Random Variables 329
8.4 Gaussian Random Variables 330
8.5 The Central Limit Theorem 333
8.6 Random Processes 335
8.7 Correlation of Random Processes 338
8.8 Spectra of Random Signals 343
8.9 Gaussian Processes 347
8.10 White Noise 348
8.11 Narrowband Noise 352
8.12 Summary and Discussion 356
Additional Problems 357
Advanced Problems 361
Computer Experiments 363
Chapter 9 Noise in Analog Communications 364
9.1 Noise in Communication Systems 365
9.2 SignaltoNoise Ratios 366
9.3 BandPass Receiver Structures 369
9.4 Noise in Linear Receivers Using Coherent Detection 370
9.5 Noise in AM Receivers Using Envelope Detection 373
9.6 Noise in SSB Receivers 377
9.7 Detection of Frequency Modulation (FM) 380
9.8 FM Preemphasis and Deemphasis 387
9.9 Summary and Discussion 390
Additional Problems 391
Advanced Problems 392
Computer Experiments 393
Chapter 10 Noise in Digital Communications 394
10.1 Bit Error Rate 395
10.2 Detection of a Single Pulse in Noise 396
10.3 Optimum Detection of Binary PAM in Noise 399
10.4 Optimum Detection of BPSK 405
10.5 Detection of QPSK and QAM in Noise 408
10.6 Optimum Detection of Binary FSK 414
10.7 Differential Detection in Noise 416
10.8 Summary of Digital Performance 418
10.9 Error Detection and Correction 422
10.10 Summary and Discussion 433
Additional Problems 434
Advanced Problems 435
Computer Experiments 436
Chapter 11 System and Noise Calculations 437
11.1 Electrical Noise 438
11.2 Noise Figure 442
11.3 Equivalent Noise Temperature 443
11.4 Cascade Connection of TwoPort Networks 445
11.5 FreeSpace Link Calculations 446
11.6 Terrestrial Mobile Radio 451
11.7 Summary and Discussion 456
Additional Problems 457
Advanced Problems 458
APPENDIX 1 POWER RATIOS AND DECIBEL 459
APPENDIX 2 FOURIER SERIES 460
APPENDIX 3 BESSEL FUNCTIONS 467
APPENDIX 4 THE QFUNCTION AND ITS RELATIONSHIP TO THE ERROR FUNCTION 470
APPENDIX 5 SCHWARZ’S INEQUALITY 473
APPENDIX 6 MATHEMATICAL TABLES 475
APPENDIX 7 MATLAB SCRIPTS FOR COMPUTER EXPERIMENTS TO PROBLEMS IN CHAPTERS 710 480
APPENDIX 8 ANSWERS TO DRILL PROBLEMS 488
GLOSSARY 495
BIBLIOGRAPHY 498
INDEX 501
New To This Edition
· “Lessons to be Learned” at the beginning of each chapter.
· Chapters 3 and 4 are devoted to analog communications, with Chapter 3 covering amplitude modulation and Chapter 4 covering angle modulation. In the previous edition they were covered later and also in one chapter (chapter 7).
· Chapter 5 on pulse modulation covers the concepts pertaining to the transition from analog to digital communications.
· Chapters 6 & 7 are devoted to digital communications, with Chapter 6 covering Baseband data transmission and Chapter 7 covering bandpass data transmission.
· Chapter 8 – Random Signals and Noise starts are coverage of probability theory
· New Chapter 10, in many ways brings material covered in Chapters 29 into practical context by discussing the important transmission media that form the backbone of communication systems like transmission lines, optical fiber, multiplexing signals on wired systems, radio systems and terrestrial propagation.
The Wiley Advantage
· Robust problems sets, examples, and exercises.
· In addition to the problem sets, exercises are presented to students to help improve their understanding of the material covered in the chapter. The answers to the exercises are given at the end of the book.
· Abundance of examples: Numerous examples, worked out in detail, are included to help students develop an intuitive grasp of the theory.
· MATLAB experiments.
· Appendices to the book include power ratio and the decibel, Fourier series, Bessel functions, Error function, and an assortment of mathematical tables.
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