信号与系统基础 应用Web和MATLAB 第2版2025|PDF|Epub|mobi|kindle电子书版本百度云盘下载

信号与系统基础 应用Web和MATLAB 第2版PDF格式电子书版下载

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Preface1

1 FUNDAMENTAL CONCEPTS1

1.1 Signals and Systems1

1.2 Continuous-Time Signals6

1.3 Discrete-Time Signals17

1.4 Examples of Systems25

1.5 Basic System Properties36

Problems47

2 SYSTEMS DEFINED BY DIFFERENTIAL OR DIFFERENCE EOUATIONS57

2.1 Linear Input/Output Differential Equations with Constant Coefficients57

2.2 System Modeling61

2.3 Linear Input/Output Difference Equations with Constant Coefficients66

2.4 Discretization in Time of Differential Equations72

2.5 Systems Defined by Time-Varying or Nonlinear Equations80

Problems88

3 CONVOLUTION REPRESENTATION101

3.1 Convolution Representation of Linear Time-Invariant Discrete-Time Systems101

3.2 Convolution of Discrete-Time Signals104

3.3 Convolution Representation of Linear Time-Invariant Continuous-Time Systems114

3.4 Convolution of Continuous-Time Signals118

3.5 Numerical Convolution128

3.6 Linear Time-Varying Systems132

Problems134

4 THE FOURIER SERIES AND FOURIER TRANSFORM145

4.1 Representation of Signals in Terms of Frequency Components146

4.2 Fourier Series Representation of Periodic Signals153

4.3 Fourier Transform161

4.4 Properties of the Fourier Transform175

4.5 Generalized Fourier Transform190

Problems193

5 FREQUENCY-DOMAIN ANALYSIS OF SYSTEMS202

5.1 Response to a Sinusoidal Input203

5.2 Response to Periodic Inputs210

5.3 Response to Aperiodic Inputs216

5.4 Analysis of Ideal Filters221

5.5 Sampling231

Problems238

6 APPLICATION TO COMMUNICATIONS251

6.1 Analog Modulation252

6.2 Demodulation of Analog Signals260

6.3 Simultaneous Transmission of Signals264

6.4 Digital Modulation268

6.5 Baseband PAM272

6.6 Passband PAM276

6.7 Digital Communication Simulations282

Problems289

7 FOURIER ANALYSIS OF DISCRETE-TIME SIGNALS AND SYSTEMS297

7.1 Discrete-Time Fourier Transform298

7.2 Discrete Fourier Transform310

7.3 Properties of the DFT322

7.4 System Analysis via the DTFT and DFT331

7.5 FFT Algorithm339

7.6 Applications of the FFT Algorithm341

Problems349

8 THE LAPLACE TRANSFORM AND THE TRANSFER FUNCTION REPRESENTATION358

8.1 Laplace Transform of a Signal359

8.2 Properties of the Laplace Transform363

8.3 Computation of the Inverse Laplace Transform374

8.4 Transform of the Input/Output Differential Equation394

8.5 Transfer Function Representation401

8.6 Transfer Function of Block Diagrams415

Problems423

9 SYSTEM ANALYSIS USING THE TRANSFER FUNCTION REPRESENTATION435

9.1 Stability and the Impulse Response436

9.2 Routh-Hurwitz Stability Test439

9.3 Analysis of the Step Response443

9.4 Response to Sinusoids and Arbitrary Inputs459

9.5 Frequency Response Function465

9.6 Causal Filters484

Problems498

10 APPLICATION TO CONTROL509

10.1 Introduction to Control509

10.2 Tracking Control516

10.3 Root Locus527

10.3 Application to Control System Design535

Problems543

11 THE z-TRANSFORM AND DISCRETE-TIME SYSTEMS555

11.1 z-Transform of a Discrete-Time Signal556

11.2 Properties of the z-Transform560

11.3 Computation of the Inverse z-Transform571

11.4 Transfer Function Representation581

11.5 Stability of Discrete-Time Systems593

11.6 Frequency Response of Discrete-Time Systems597

Problems601

12 DESIGN OF DIGITAL FILTERS AND CONTROLLERS612

12.1 Discretization613

12.2 Design of IIR Filters618

12.3 Design of IIR Filters Using MATLAB623

12.4 Design of FIR Filters630

12.5 Design of Digital Controllers643

Problems649

13 STATE REPRESENTATION655

13.1 State Model656

13.2 Construction of State Models659

13.3 Solution of State Equations667

13.4 Discrete-Time Systems676

13.5 Equivalent State Representations683

13.6 Discretization of State Model689

Problems692

APPENDIX A BRIEF REVIEW OF COMPLEX VARIABLES703

APPENDIX B BRIEF REVIEW OF MATRICES708

BIBLIOGRAPHY714

INDEX717