內容簡介
本書全麵係統地介紹瞭信號與係統的基本概念、理論、方法及應用。全書共10章。第1章介紹瞭信號與係統的基本概念;第2章討論瞭綫性非時變係統的時域分析方法;第3、4章分彆討論瞭離散時間周期與非周期信號、連續時間周期與非周期信號,以及綫性非時變係統的傅裏葉描述以及傅裏葉描述在混閤信號類型中的應用;第6、7章分彆討論瞭連續時間信號與離散時間信號的復指數描述;第5、8、9章分彆介紹瞭信號與係統在通信係統、濾波器與均衡器以及綫性反饋係統中的應用;第10章簡要說明若乾關於非穩定信號以及非綫性與時變係統的課題。
目錄
Preface
CHAPTER 1 Introduction
1.1 What Is a Signal?
1.2 What Is a System?
1.3 Overview of Specific Systems
1.4 Classification of Signals
1.5 Basic Operations on Signals
1.6 Elementary Signals
1.7 Systems Viewed as Interconnections of Operations
1.8 Properties of Systems
1.9 Noise
1.10 Theme Examples
1.11 Exploring Concepts with MATLAB
1.12 Summary
Further Reading
Additional Problems
CHAPTER 2 Time-Domain Representations of Linear Time-Invariant Systems
2.1 Introduction
2.2 The Convolution Sum
2.3 Convolution Sum Evaluation Procedure
2.4 The Convolution Integral
2.5 Convolution Integral Evaluation Procedure
2.6 Interconnections of LTI Systems
2.7 Relations between LTI System Properties and the Impulse Response
2.8 Step Response
2.9 Differential and Difference Equation Representations of LTI Systems
2.10 Solving Differential and Difference Equations
2.11 Characteristics of Systems Described by Differential and Difference Equations
2.12 Block Diagram Representations
2.13 State-Variable Descriptions of LTI Systems
2.14 Exploring Concepts with MATLAB
2.15 Summary
Further Reading
Additional Problems
CHAPTER 3 Fourier Representations of Signals and Linear Time-Invariant Systems
3.1 Introduction
3.2 Complex Sinusoids and Frequency Response of LTI Systems
3.3 Fourier Representations for Four Classes of Signals
3.4 Discrete-Time Periodic Signals: The Discrete-Time Fourier Series
3.5 Continuous-Time Periodic Signals: The Fourier Series
3.6 Discrete-Time Nonperiodic Signals: The Discrete-Time Fourier Transform
3.7 Continuous-Time Nonperiodic Signals: The Fourier Transform
3.8 Properties of Fourier Representations
3.9 Linearity and Symmetry Properties
3.10 Convolution Property
3.11 Differentiation and Integration Properties
3.12 Time- and Frequency-Shift Properties
3.13 Finding Inverse Fourier Transforms by Using Partial-Fraction Expansions
3.14 Multiplication Property
3.15 Scaling Properties
3.16 Parseval Relationships
3.17 Time?Bandwidth Product
3.18 Duality
3.19 Exploring Concepts with MATLAB
3.20 Summary
Further Reading
Additional Problems
CHAPTER 4 Applications of Fourier Representations to Mixed Signal Classes
4.1 Introduction
4.2 Fourier Transform Representations of Periodic Signals
4.3 Convolution and Multiplication with Mixtures of Periodic and Nonperiodic Signals
4.4 Fourier Transform Representation of Discrete-Time Signals
4.5 Sampling
4.6 Reconstruction of Continuous-Time Signals from Samples
4.7 Discrete-Time Processing of Continuous-Time Signals
4.8 Fourier Series Representations of Finite-Duration Nonperiodic Signals
4.9 The Discrete-Time Fourier Series Approximation to the Fourier Transform
4.10 Efficient Algorithms for Evaluating the DTFS
4.11 Exploring Concepts with MATLAB
4.12 Summary
Further Reading
Additional Problems
CHAPTER 5 Application to Communication Systems
5.1 Introduction
5.2 Types of Modulation
5.3 Benefits of Modulation
5.4 Full Amplitude Modulation
5.5 Double Sideband-Suppressed Carrier Modulation
5.6 Quadrature-Carrier Multiplexing
5.7 Other Variants of Amplitude Modulation
5.8 Pulse-Amplitude Modulation
5.9 Multiplexing
5.10 Phase and Group Delays
5.11 Exploring Concepts with MATLAB
5.12 Summary
Further Reading
Additional Problems
CHAPTER 6 Representing Signals by Using Continuous-Time Complex Exponentials: the Laplace Transform
6.1 Introduction
6.2 The Laplace Transform
6.3 The Unilateral Laplace Transform
6.4 Properties of the Unilateral Laplace Transform
6.5 Inversion of the Unilateral Laplace Transform
6.6 Solving Differential Equations with Initial Conditions
6.7 Laplace Transform Methods in Circuit Analysis
6.8 Properties of the Bilateral Laplace Transform
6.9 Properties of the Region of Convergence
6.10 Inversion of the Bilateral Laplace Transform
6.11 The Transfer Function
6.12 Causality and Stability
6.13 Determining the Frequency Response from Poles and Zeros
6.14 Exploring Concepts with MATLAB
6.15 Summary
Further Reading
Additional Problems
CHAPTER 7 Representing Signals by Using Discrete-Time Complex Exponentials: the z-Transform
7.1 Introduction
7.2 The z-Transform
7.3 Properties of the Region of Convergence
7.4 Properties of the z-Transform
7.5 Inversion of the z-Transform
7.6 The Transfer Function
7.7 Causality and Stability
7.8 Determining the Frequency Response from Poles and Zeros
7.9 Computational Structures for Implementing Discrete-Time LTI Systems
7.10 The Unilateral z-Transform
7.11 Exploring Concepts with MATLAB
7.12 Summary
Further Reading
Additional Problems
CHAPTER 8 Application to Filters and Equalizers
8.1 Introduction
8.2 Conditions for Distortionless Transmission
8.3 Ideal Low-Pass Filters
8.4 Design of Filters
8.5 Approximating Functions
8.6 Frequency Transformations
8.7 Passive Filters
8.8 Digital Filters
8.9 FIR Digital Filters
8.10 IIR Digital Filters
8.11 Linear Distortion
8.12 Equalization
8.13 Exploring Concepts with MATLAB
8.14 Summary
Further Reading
Additional Problems
CHAPTER 9 Application to Linear Feedback Systems
9.1 Introduction
9.2 What Is Feedback
9.3 Basic Feedback Concepts
9.4 Sensitivity Analysis
9.5 Effect of Feedback on Disturbance or Noise
9.6 Distortion Analysis
9.7 Summarizing Remarks on Feedback
9.8 Operational Amplifiers
9.9 Control Systems
9.10 Transient Response of Low-Order Systems
9.11 The Stability Problem
9.12 Routh?Hurwitz Criterion
9.13 Root Locus Method
9.14 Nyquist Stability Criterion
9.15 Bode Diagram
9.16 Sampled-Data Systems
9.17 Exploring Concepts with MATLAB
9.18 Summary
Further Reading
Additional Problems
CHAPTER 10 Epilogue
10.1 Introduction
10.2 Speech Signals: An Example of Nonstationarity
10.3 Time?Frequency Analysis
10.4 Nonlinear Systems
10.5 Adaptive Filters
10.6 Concluding Remarks
Further Reading
APPENDIX A Selected Mathematical Identities
APPENDIX B Partial-Fraction Expansions
APPENDIX C Tables of Fourier Representations and Properties
APPENDIX D Tables of Laplace Transforms and Properties
APPENDIX E Tables of z-Tansforms and Properties
APPENDIX F Introduction to MATLAB
Index
前言/序言
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