An Introduction to Analog and Digital Communications » książka
An Introduction to Analog and Digital Communications
ISBN-13: 9780471432227 / Angielski / Twarda / 2006 / 544 str.
An Introduction to Analog and Digital Communications
ISBN-13: 9780471432227 / Angielski / Twarda / 2006 / 544 str.
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The second edition of this accessible book provides readers with an introductory treatment of communication theory as applied to the transmission of information-bearing signals. While it covers analog communications, the emphasis is placed on digital technology. It begins by presenting the functional blocks that constitute the transmitter and receiver of a communication system. Readers will next learn about electrical noise and then progress to multiplexing and multiple access techniques.
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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 Low–pass 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 Sideband–Suppressed Carrier Modulation 114
3.4 Costas Receiver 120
3.5 Quadrature–Carrier Multiplexing 121
3.6 Single–Sideband Modulation 123
3.7 Vestigial Sideband Modulation 130
3.8 Baseband Representation of Modulated Waves and Band–Pass 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 Angle–Modulated Waves 154
4.3 Relationship between PM and FM Waves 159
4.4 Narrow–Band Frequency Modulation 160
4.5 Wide–Band 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 Pulse–Amplitude Modulation 198
5.3 Pulse–Position Modulation 202
5.4 Completing the Transition from Analog to Digital 203
5.5 Quantization Process 205
5.6 Pulse–Code Modulation 206
5.7 Delta Modulation 211
5.8 Differential Pulse–Code 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 Raised–Cosine Pulse Spectrum 238
6.5 Baseband Transmission of M–ary 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 Band–Pass Modulation Techniques 262
7.1 Some Preliminaries 262
7.2 Binary Amplitude–Shift Keying 265
7.3 Phase–Shift Keying 270
7.4 Frequency–Shift Keying 281
7.5 Summary of Three Binary Signaling Schemes 289
7.6 Noncoherent Digital Modulation Schemes 291
7.7 M–ary 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 Signal–to–Noise Ratios 366
9.3 Band–Pass 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 Pre–emphasis and De–emphasis 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 Two–Port Networks 445
11.5 Free–Space 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 Q–FUNCTION 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 7–10 480
APPENDIX 8 ANSWERS TO DRILL PROBLEMS 488
GLOSSARY 495
BIBLIOGRAPHY 498
INDEX 501
SIMON HAYKIN, PhD, is University Professor and Director of the Adaptive Systems Laboratory at McMaster University.
A highly accessible and applied introduction to communication theory Simon Haykin and Michael Moher s Second Edition of Introduction to Analog and Digital Communications offers an accessible introduction to analog and digital communications and serves as an introductory treatment of communication theory. It is filled with an abundance of insightful examples, problems, and computer experiments. Throughout the text, the authors emphasize the practical relevance of the theory wherever appropriate, and keep the mathematical treatment at an easy–to–grasp level. Key Features Includes two new chapters: Chapter 10, Digital Signals and Noise, and Chapter 11, System Noise and Calculations. Motivates learning through practical applications from the Internet, to networks, to the common radio and a historical background of communication systems. Offers a robust set of problem sets, examples, and exercises. Includes an abundance of examples worked out in detail, to help students develop an intuitive grasp of the theory in addition to MATLAB experiments. Helps you master the concepts by applying what you ve learned to problems following the discussion of the fundamental concepts. Provides additional end–of–chapter problems that extend the theory covered in the text. I was impressed with Haykin/Moher s: Introduction to Analog and Digital Communications, 2e and the straightforward comprehensive material coverage of the basic principles of communication theory. Also, the text is 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 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 well–written introductory text to grasp the basics of communication systems. Aylin Yener, Pennsylvania State University
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