Simon Haykin has written two books with Wiley for Communications Systems, Introduction to Digital and Analog Communications, 2e and the forthcoming revision of his classic Communications Systems, 5e. The second edition of Introduction to Digital and Analog Communications, 2e is written at an accessible level and serves as an introductory treatment of communication theory, both ana-log and digital communications.
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 mathe-matical treatment at an easy-to-grasp level, and also to point out the practical relevance of the theory wherever it is appropri-ate 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 self-contained and suited for a one or two-semester course in communica-tion 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 expecta-tions. 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 Pet-rov- 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-Penn State University
By:
Simon Haykin (McMaster University Hamilton Ontario Canada),
Michael Moher
Imprint: John Wiley & Sons Inc
Country of Publication: United States
Edition: 2nd edition
Dimensions:
Height: 257mm,
Width: 203mm,
Spine: 25mm
Weight: 1.089kg
ISBN: 9780471432227
ISBN 10: 0471432229
Pages: 544
Publication Date: 19 January 2006
Audience:
Professional and scholarly
,
Undergraduate
Format: Hardback
Publisher's Status: Active
Chapter 1 Introduction 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 APPENDIX 1 POWER RATIOS AND DECIBEL 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 APPENDIX 1 POWER RATIOS AND DECIBEL 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.
