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信号与系统（第二版）（英文版）

信号与系统（第二版）（英文版）

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作者: Simon 著 , [加] Haykin 著 , Barry 著 , Van 著 , Simon 译 , [加] Haykin 译

出版社: 电子工业出版社

出版时间: 2012-10

版次: 01

ISBN: 9787121185946

定价: 89.00

装帧: 平装

开本: 16开

纸张: 胶版纸

页数: 820页

正文语种: 英语

丛书: 国外电子与通信教材系列

分类: 工程技术

100人买过

本书全面系统地介绍了信号与系统的基本概念、理论、方法及应用。全书共10章。第1章介绍了信号与系统的基本概念；第2章讨论了线性非时变系统的时域分析方法；第3、4章分别讨论了离散时间周期与非周期信号、连续时间周期与非周期信号，以及线性非时变系统的傅里叶描述以及傅里叶描述在混合信号类型中的应用；第6、7章分别讨论了连续时间信号与离散时间信号的复指数描述；第5、8、9章分别介绍了信号与系统在通信系统、滤波器与均衡器以及线性反馈系统中的应用；第10章简要说明若干关于非稳定信号以及非线性与时变系统的课题。 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
内容简介:
本书全面系统地介绍了信号与系统的基本概念、理论、方法及应用。全书共10章。第1章介绍了信号与系统的基本概念；第2章讨论了线性非时变系统的时域分析方法；第3、4章分别讨论了离散时间周期与非周期信号、连续时间周期与非周期信号，以及线性非时变系统的傅里叶描述以及傅里叶描述在混合信号类型中的应用；第6、7章分别讨论了连续时间信号与离散时间信号的复指数描述；第5、8、9章分别介绍了信号与系统在通信系统、滤波器与均衡器以及线性反馈系统中的应用；第10章简要说明若干关于非稳定信号以及非线性与时变系统的课题。
目录:
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

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