Fundamentals of Communications Systems2025|PDF|Epub|mobi|kindle电子书版本百度云盘下载

Fundamentals of Communications SystemsPDF格式电子书版下载

注意：本站所有压缩包均有解压码： 点击下载压缩包解压工具

Chapter 1 Introduction1

1.1 Historical Perspectives on Communication Theory1

1.2 Goals for This Text3

1.3 Modern Communication System Engineering4

1.4 Technology’s Impact on This Text6

1.5 Book Overview7

1.5.1 Mathematical Foundations7

1.5.2 Analog Communication8

1.5.3 Noise in Communication Systems9

1.5.4 Fundamentals of Digital Communication10

1.6 Homework Problems10

PART 1 MATHEMATICAL FOUNDATIONS13

Chapter 2 Signals and Systems Review15

2.1 Signal Classification15

2.1.1 Energy versus Power Signals15

2.1.2 Periodic versus Aperiodic18

2.1.3 Real versus Complex Signals19

2.1.4 Continuous Time Signals versus Discrete Time Signals20

2.2 Frequency Domain Characterization of Signals20

2.2.1 Fourier Series20

2.2.2 Fourier Transform23

2.2.3 Bandwidth of Signals28

2.2.4 Fourier Transform Representation of Periodic Signals30

2.2.5 Laplace Transforms32

2.3 Linear Time-Invariant Systems32

2.4 Utilizing Matlab37

2.4.1 Sampling37

2.4.2 Integration38

2.4.3 Commonly Used Functions38

2.5 Homework Problems39

2.6 Example Solutions47

2.7 Miniprojects50

2.7.1 Project 150

2.7.2 Project 251

Chapter 3 Review of Probability and Random Variables53

3.1 Axiomatic Definitions of Probability53

3.2 Random Variables58

3.2.1 Cumulative Distribution Function58

3.2.2 Probability Density Function60

3.2.3 Moments and Statistical Averages61

3.2.4 The Gaussian Random Variable62

3.2.5 A Transformation of a Random Variable64

3.3 Multiple Random Variables66

3.3.1 Joint Density and Distribution Functions66

3.3.2 Joint Moments and Statistical Averages68

3.3.3 Two Gaussian Random Variables68

3.3.4 Transformations of Random Variables71

3.3.5 Central Limit Theorem73

3.3.6 Multiple Dimensional Gaussian Random Variables74

3.4 Homework Problems75

3.5 Example Solutions85

3.6 Miniprojects88

3.6.1 Project 188

Chapter 4 Complex Baseband Representation of Bandpass Signals91

4.1 Introduction91

4.2 Baseband Representation of Bandpass Signals92

4.3 Visualization of Complex Envelopes96

4.4 Spectral Characteristics of the Complex Envelope99

4.4.1 Basics99

4.4.2 Bandwidth of Bandpass Signals103

4.5 Power of Carrier Modulated Signals104

4.6 Linear Systems and Bandpass Signals104

4.7 Conclusions108

4.8 Homework Problems108

4.9 Example Solutions120

4.10 Miniprojects123

4.10.1 Project 1123

4.10.2 Project 2123

PART 2 ANALOG COMMUNICATION125

Chapter 5 Analog Communications Basics127

5.1 Message Signal Characterization127

5.2 Analog Transmission131

5.2.1 Analog Modulation132

5.2.2 Analog Demodulation132

5.3 Performance Metrics for Analog Communication134

5.4 Preview of Pedagogy137

5.5 Homework Problems138

5.6 Example Solutions141

Chapter 6 Amplitude Modulation145

6.1 Linear Modulation145

6.1.1 Modulator and Demodulator149

6.1.2 Coherent Demodulation150

6.1.3 DSB-AM Conclusions152

6.2 Affine Modulation152

6.2.1 Modulator and Demodulator156

6.2.2 LC-AM Conclusions160

6.3 Quadrature Modulations160

6.3.1 VSB Filter Design161

6.3.2 Single Sideband AM163

6.3.3 Modulator and Demodulator166

6.3.4 Transmitted Reference Based Demodulation167

6.3.5 Quadrature Modulation Conclusions171

6.4 Homework Problems171

6.5 Example Solutions186

6.6 Miniprojects188

6.6.1 Project 1189

6.6.2 Project 2189

6.6.3 Project 3190

Chapter 7 Analog Angle Modulation191

7.1 Angle Modulation191

7.1.1 Angle Modulators196

7.2 Spectral Characteristics197

7.2.1 A Sinusoidal Message Signal197

7.2.2 General Results204

7.3 Demodulation of Angle Modulations209

7.4 Comparison of Analog Modulation Techniques214

7.5 Homework Problems215

7.6 Example Solutions227

7.7 Miniprojects229

7.7.1 Project 1229

7.7.2 Project 2230

Chapter 8 More Topics in Analog Communications231

8.1 Phase-Locked Loops231

8.1.1 General Concepts231

8.1.2 PLL Linear Model234

8.2 PLL-Based Angle Demodulation234

8.2.1 General Concepts234

8.2.2 PLL Linear Model236

8.3 Multiplexing Analog Signals238

8.3.1 Quadrature Carrier Multiplexing239

8.3.2 Frequency Division Multiplexing240

8.4 Conclusions243

8.5 Homework Problems243

8.6 Example Solutions249

8.7 Miniprojects250

8.7.1 Project 1250

PART 3 NOISE IN COMMUNICATIONS SYSTEMS251

Chapter 9 Random Processes253

9.1 Basic Definitions254

9.2 Gaussian Random Processes257

9.3 Stationary Random Processes261

9.3.1 Basics262

9.3.2 Gaussian Processes263

9.3.3 Frequency Domain Representation267

9.4 Thermal Noise271

9.5 Linear Systems and Random Processes275

9.6 The Solution of the Canonical Problem279

9.7 Homework Problems282

9.8 Example Solutions294

9.9 Miniprojects296

9.9.1 Project 1296

9.9.2 Project 2296

Chapter 10 Noise in Bandpass Communication Systems299

10.1 Bandpass Random Processes302

10.2 Characteristics of the Complex Envelope304

10.2.1 Three Important Results304

10.2.2 Important Corollaries307

10.3 Spectral Characteristics310

10.4 The Solution of the Canonical Bandpass Problem313

10.5 Complex Additive White Gaussian Noise316

10.6 Conclusion317

10.7 Homework Problems317

10.8 Example Solutions325

10.9 Miniprojects327

10.9.1 Project328

Chapter 11 Fidelity in Analog Demodulation329

11.1 Unmodulated Signals329

11.2 Bandpass Demodulation332

11.2.1 Coherent Demodulation333

11.3 Coherent Amplitude Demodulation334

11.3.1 Coherent Demodulation334

11.4 Noncoherent Amplitude Demodulation337

11.5 Angle Demodulations340

11.5.1 Phase Modulation340

11.5.2 Frequency Modulation343

11.6 Improving Fidelity with Pre-Emphasis345

11.7 Final Comparisons347

11.8 Homework Problems348

11.9 Example Solutions354

11.10 Miniprojects357

11.10.1 Project 1357

11.10.2 Project 2357

PART 4 FUNDAMENTALS OF DIGITAL COMMUNICATION359

Chapter 12 Digital Communication Basics361

12.1 Digital Transmission362

12.1.1 Digital Modulation362

12.1.2 Digital Demodulation363

12.2 Performance Metrics for Digital Communication364

12.2.1 Fidelity364

12.2.2 Complexity365

12.2.3 Bandwidth Efficiency366

12.2.4 Other Important Characteristics367

12.3 Some Limits on Performance of Digital Communication Systems368

12.4 Conclusion370

12.5 Homework Problems371

12.6 Example Solutions374

12.7 Miniprojects374

12.7.1 Project 1375

Chapter 13 Optimal Single Bit Demodulation Structures377

13.1 Introduction377

13.1.1 Statistical Hypothesis Testing379

13.1.2 Statistical Hypothesis Testing in Digital Communications381

13.1.3 Digital Communications Design Problem382

13.2 Minimum Probability of Error Bit Demodulation383

13.2.1 Characterizing the Filter Output385

13.2.2 Uniform A Priori Probability387

13.3 Analysis of Demodulation Fidelity390

13.3.1 Erf Function391

13.3.2 Uniform A Priori Probability392

13.4 Filter Design394

13.4.1 Maximizing Effective SNR394

13.4.2 The Matched Filter396

13.4.3 MLBD with the Matched Filter397

13.4.4 More Insights on the Matched Filter399

13.5 Signal Design401

13.6 Spectral Characteristics404

13.7 Examples406

13.7.1 Frequency Shift Keying406

13.7.2 Phase Shift Keying412

13.7.3 Discussion415

13.8 Homework Problems416

13.9 Example Solutions426

13.10 Miniprojects431

13.10.1 Project 1431

13.10.2 Project 2433

Chapter 14 Transmitting More Than One Bit435

14.1 A Reformulation for 1 Bit Transmission435

14.2 Optimum Demodulation437

14.2.1 Optimum Word Demodulation Receivers438

14.2.2 Analysis of Demodulation Fidelity441

14.2.3 Union Bound444

14.2.4 Signal Design450

14.3 Examples451

14.3.1 M-ary FSK451

14.3.2 M-ary PSK455

14.3.3 Discussion460

14.4 Homework Problems461

14.5 Example Solutions471

14.6 Miniprojects474

14.6.1 Project 1475

Chapter 15 Managing the Complexity of Optimum Demodulation477

15.1 Linear Modulations478

15.1.1 MLWD for Linear Modulation479

15.1.2 Error Rate Evaluation for Linear Modulation482

15.1.3 Spectral Characteristics of Linear Modulation486

15.1.4 Example：Square Quadrature Amplitude Modulation486

15.1.5 Summary of Linear Modulation486

15.2 Orthogonal Modulations489

15.3 Orthogonal Modulation Examples492

15.3.1 Orthogonal Frequency Division Multiplexing492

15.3.2 Orthogonal Code Division Multiplexing498

15.3.3 Binary Stream Modulation502

15.4 Conclusions506

15.5 Homework Problems507

15.6 Example Solutions524

15.7 Miniprojects529

15.7.1 Project 1530

15.7.2 Project 2530

15.7.3 Project 3530

Chapter 16 Spectrally Efficient Data Transmission533

16.1 Spectral Containment533

16.2 Squared Cosine Pulse535

16.3 Spectral Shaping in OFDM537

16.4 Spectral Shaping in Linear Stream Modulations539

16.5 Testing Orthogonal Modulations543

16.5.1 The Scatter Plot544

16.5.2 Stream Modulations547

16.6 Conclusions550

16.7 Homework Problems550

16.8 Example Solutions554

16.9 Miniprojects555

16.9.1 Project 1555

16.9.2 Project 2557

16.9.3 Project 3558

16.9.4 Project 4559

Chapter 17 Orthogonal Modulations with Memory561

17.1 Canonical Problems561

17.2 Orthogonal Modulations with Memory562

17.2.1 MLWD for Orthogonal Modulations with Memory564

17.2.2 An Example OMWM Providing Better Fidelity565

17.2.3 Discussion567

17.3 Spectral Characteristics of Stream OMWM569

17.3.1 An Example OMWM with a Modified Spectrum569

17.3.2 Spectrum of OMWM for Large Kb571

17.4 Varying Transmission Rates with OMWM576

17.4.1 Spectrum of Stream Modulations with Nnm＞1577

17.4.2 Example R＜1：Convolutional Codes581

17.4.3 Example R＞1：Trellis Codes583

17.4.4 Example for Spectral Shaping：Miller Code586

17.5 Conclusions588

17.6 Homework Problems590

17.7 Example Solutions596

17.8 Miniprojects598

17.8.1 Project 1598

Appendix A Useful Formulas601

Appendix B Notation605

Appendix C Acronyms609

Appendix D Fourier Transforms：f versus ω611

Appendix E Further Reading and Bibliography613

Index617