信号与系统(第二版)英文版|国外电子与通信教材系列|（美）Alan V.Oppenheim Alan S.Willsky S.Hamid Nawab|电子工业出版社

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信号与系统(第二版)英文版

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原书名：Signals and Systems,Second Edition	原出版社：Pearson Education
作者：（美）Alan V.Oppenheim Alan S.Willsky S.Hamid Nawab	出版社：电子工业出版社
译者：	丛书名：国外电子与通信教材系列
出版日期：2002-8-1	上架日期：2005-10-8
ISBN：7505378465	页数：957 版次：1-1
开本：16开	装帧：

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内容简介
本书是美国麻省理工学院(MIT)的经典教材之一，讨论了信号与系统分析的基本理论、基本分析方法及其应用。全书共分11章，主要讲述了线性系统的基本理论、信号与系统的基本概念、线性时不变系统、连续与离散信号的傅里叶表示、傅里叶变换以及时域和频域系统的分析方法等内容。本书作者使用了大量在滤波、抽样、通信和反馈系统中的实例，并行讨论了连续系统、离散系统、时域系统和频域系统的分析方法，以使读者能透彻地理解各种信号系统的分析方法并比较其异同。
本书可作为通信与电子系统类、自动化类以及全部电类专业信号与系统课程的双语教材，也可以供任何从事信息获取、转换、传输及处理工作的其他专业研究生、教师和广大科技工作者参考。

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1 SIGNALS AND SYSTEMS
     1.0  Introduction
     1.1 Continuous-Time and Discrete-Time Signals
     1.1.1 Examples and Mathematical Representation
     1.1.2 Signal Energy and Power
     1.2 Transformations of the Independent Variable
     1.2.1 Examples of Transformations of the Independent Variable
     1.2.2 Periodic Signals
     1.2.3 Even and Odd Signals
     1.3 Exponential and Sinusoidal Signals
     1.3.1 Continuous-Time Complex Exponential and Sinusoidal Signals
     1.3.2 Discrete-Time Complex Exponential and Sinusoidal Signals
     1.3.3 Periodicity Properties of Discrete-Time Complex Exponentials
     1.4 The Unit Impulse and Unit Step Functions
     1.4.1 The Discrete-Time Unit Impulse and Unit Step Sequences
     1.4.2 The Continuous-Time Unit Step and Unit Impulse Functions
     1.5 Continuous-Time and Discrete-Time System
     l.5.1 Simple Examples of Systems
     1.5.2 Interconnections of Systems
     1.6 Basic System Properties
     1.6.1 Systems with and without Memory
     1.6.2 Invertibility and Inverse Systems
     1.6.3 Causality
     1.6.4 Stability
     1.6.5 Time Invariance
     1.6.6 Linearity
     1.7 Summary
     Problems
     LINEAR TIME-INVARIANT SYSTEMS
     2.0 Introduction
     2.1 Discrete-Time LTI Systems: The Convolution Sum
     2.1.1 The Representation of Discrete-Time Signals in Terms of Impulses
     2.1.2 The Discrete-Time Unit Impulse Response and the Convolution-Sum Representation of LTI Systems
     2.2 Continunus-Time LTI Systems: The Convolution Integral
     2.2.1 The Representation of Continuous-Time Signals in Terms of Impulses
     2.2.2 The Continuous-Time Unit Impulse Response and the Convolution Integral Representation of LTI Systems
     2.3 Properties of Linear Time-Invariant Systems
     2.3.1 The Commutative Property
     2.3.2 The Distributive Property
     2.3.3 The Associative Property '
     2.3.4 LTI Systems with and without Memory
     2.3.5 Invenibility of LTI Systems
     2.3.6 Cansality for LII Systems
     2.3.7 Stability for LTI Systems
     2.3.8 The Unit Step Response of an LTI System
     2.4 Causal LTI Systems Described by Differential and Difference Equations
     2.4.1 Linear Constant-Coefficient Differential Equations
     2.4.2 Linear Constant-CoeHicient Difference Equations
     2.4.3 Block Diagram Representations of First-Order Systems Described by Differential and Difference Equations
     2.5 Singularity Functions 
     2.5.1 The Unit Impulse as an Idealized Short Pulse
     2.5.2 Defining the Unit Impulse through Convolution
     2.5.3 Unit Doublets and Other Singulanty Functions
     2.6 Summary
     Problems
     3 FOURIER SERIES REPRESENTATION OF PERIODIC SIGNALS
     3.0 Introduction
     3.1 A Historieal Perspective
     3.2 The Response of LTI Systems to Complex Exponentials
     3.3 Fourier Series Representation of Continuous-Time Periodic Signals
     3.3.1 Linear Combinations of Harmonically Related Complex Exponentials
     3.3.2 Determination of the Fourier Series Representation of a Continuous-Time Periodic Signal
     3.4 Convergence of the Fourier Series
     3.5 Properties of Continuous-Time Fourier Series
     3.5.1 Linearity
     3.5.2 Time Shifting
     3.5.3 Time Reversal
     3.5.4 Time Scaling
     3.5.5 Multiplication
     3.5.6 Conjugation and Conjugate Symmetry 
     3.5.7 Parseval's Relation for Continuous-Time Periodic Signals
     3.5.8 Summary of Propenies of the Continuous-Time Fourier Series
     3.5.9 Examples
     3.6 Fourier Series Representation of Discrete-Time Periodic Signals
     3.6.1 Linear Combinations of Harmonically Related Complex Exponentials
     3.6.2 Determination of the Fourier Series Representation of a Periodic Signal
     3.7 Propedies of Discrete-Time Fourier Series
     3.7.1 Multiplication
     3.7.2 First Difference
     3.7.3 Parseval's Relation for Discrete-Time Periodic Signals
     3.7.4 Examples
     3.8 Fourier Series and LTI Systems
     3.9 Filtering
     3.9.1 Frequency-Shaping Filters
     3.9.2 Frequency-Selective Filters
     3.10 Examples of Continuous-Time Filters Described by Differential Equations
     3.10.1 A Simple RC Lowpass Filter
     3.10.2 A Simple RC Highpass Filter
     3.11 Examples of Discrete-Time Filters Described by Difference Equations
     3.11.1 First-Order Recursive Discrete-Time Filters
     3.11.2 Nonrecursive Discrete-Time Filters
     3.12 Summary
     Problems
     4 THE CONTINUOUS-TIME FOURIER TRANSFORM
     4.0 Introduction
     4.1 Representation of Aperiodic Signals: The Continuous-Time Fourier Transform
     4.1.1 Development of the Fourier Transform Representation of an Aperiodic Signal
     4.1.2 Convergence of Fourier Transforms
     4.1.3 Examples of Continuous-Time Fourier Transforms
     4.2 The Fourier Tkansform for Periodic Signals
     4.3 Properties of the Continuous-Time Fourier Transform
     4.3.1 Linearity
     4.3.2 Time Shifting
     4.3.3 Conjugation and Conjugate Symmetry
     4.3.4 Differentiation and Integration
     4.3.5 Time and Frequency Scaling 
     4.3.6 Duality
     4.3.7 Parseval's Relation
     4.4 The Convolution Property
     4.4.1 Examples
     4.5 Ihe Multiplication Property
     4.5.1 Frequency-Selective Filtering with Variable Center Frequency 
     4.6 Tables of Fourier Properties and of Basic Fourier Transform Pairs
     4.7 Systems Characterized by Linear Constant-Coefficient Differential Equations
     4.8 Summary
     Problems
     5 THE DISCRETE-TIME FOURIER TRANSFORM
     5.0 Introduction
     5.1 Representation of Aperiodic Signals: The Discrete-Time Fourier Transform
     5.1.1 Development of the Discrete-Time Fourier Transform
     5.1.2 Examples of Discrete-Time Fourier Transforms
     5.1.3 Convergence Issues Associated with the Discrete-Time Fourier Transform
     5.2 The Fourier Transform for Periodic Signals
     5.3 Properties of the Discrete-Time Fourier Transform 
     5.3.1 Periodicity of the Discrete-Time Fourier Transform
     5.3.2 Linearity of the Fourier Transform
     5.3.3 Time Shifting and Frequency Shifting
     5.3.4 Conjugation and Conjugate Symmetry
     5.3.5 Differencing and Accumulation
     5.3.6 Time Reversal
     5.3.7 Time Expansion
     5.3.8 Differentiation in Frequency
     5.3.9 Parseval's Relation
     5.4 The Convolution Property
     5.4.1 Examples
     5.5 The Multiplication Property
     5.6 Tables of Fourier Iransform Properties and Basic Fourier Transform Pairs
     5.7 Duality
     5.7.1 Duality in the Discrete-Time Fourier Series
     5.7.2 Duality between the Discrete-Time Fourier Transform and the Continuous-Time Fourier Series
     S.8 Systems Characterized by Linear Constant-Coefficient Difference Equations
     5.9 Summary
     Problems
     6 TIME AND FREQUENCY C OF SIGNALS AND SYSTEMS 
     6.0 Introduction
     6.1 The Magnitude-phase Representation of the Fourier Transform
     6.2 The Magnitude-Phase Representation of the Frequency R of LTI Systems 
     6.2.1 Linear and Nonlinear Phase
     6.2.2 Group Delay
     6.2.3 Log-Magnitude and Bode Plots
     6. 3 Time-Domain Properties of Ideal Frequency-Selective Filters
     6.4 Time-Domain and Frequency-Domain Aspects of Nonideal Filters
     6. 5 First-Order and Second-Order Continuous-Time Systems
     6.5.1 First-Order Continuous-Time Systems
     6.5.2 Second-Order Continuous-Time Systems
     6.5.3 Bode Plots for Rational Frequency Responses
     6.6 First-Order and Second-Order Discrete-Time Systems
     6.6.1 First-Order Discrete-Time Systems
     6.6.2 Second-Order Discrete-Time Systems 
     6.1 Examples of Time-and Frequency-Domain Analysis of Systems
     6.7.1 Analysis of an Automobile Suspension System
     6.7.2 Examples of Discrete-Time Nonrecursive Filters 
     6.8 Summary
     Problems
     7 SAMPLING
     7.0 Introduction
     7.1 Representation of a Continuous-Time Signal by Its Samples: The Sampling Theorem
     7. 1.1 Impulse-Train Sampling
     7. 1.2 Sampling with a    
     7.2 Reconstruction of a Signal from Its Samplee Using Interpolation
     7.3  The Effect of Undersampling: Aliasing
     7.4 Discrete-Time
     7.4.1 Digital Differentiator
     7.4.2 Half-Sample Delay
     7. 5 Sampling of Discrete-Time Signals
     7.5.1 Impulse-Train Sampling
     7.5.2 Discrete-Time Decimation and Interpolation
     7.6 S
     Problems
     8 Co
     8.0 Introduction
     8.1 Complex
     8.1.1 Amplitude Modulation with a Complex Exponential Carrier
     8.1.2 Amplitude Modulation with a Sinusoidal Carrier 
     8.2 Demodulatiou for Sinusoidal AM
     8.2.1 Synchronous Demodulation
     8.2.2 Asynchronous Demodulation
     8.3 Frequency-Division Multiplexing
     8.4 Single-Sideband Sinusoidal Amplitude Modulation
     8.5 Amplitude Modulation with a Pulse-Train Carrier
     8.5.1 Modulation of a Pulse-Train Carrier
     8.5.2 Time-Division Multiplexing
     8.6 Pulse-Amplitude Modulation
     8.6.1 Pulse-Amplitude Modulated Signals
     8.6.2 Intersymbol Interference in PAM Systems
     8.6.3 Digital Pulse-Amplitude and Pulse-Code Modulation
     8.7  Sinusoidal Frequency Modulation
     8.7.1 Narrowband Frequency Modulation 
     8.7.2 Wideband Frequency Modulation
     8.7.3 Periodic Square-Wave Modulating Signal
     8.8 Discrete-Time Medulation
     8.8.1 Discrete-Time Sinusoidal Amplitude Modulation
     8.8.2 Discrete-Time Transmodulation
     8.9 S
     Problems     
     9 THE LAPLACE TRANSFORM
     9.0 Introduction
     9.1 The Laplace Transform
     9.2 The Region of Convergence for Laplace Transforms
     9.3 The Inverse Laplace Transform
     9.4 Geometric Evaluation of the Fourier Transform from the Pole-Zero Plot
     9.4.1 First-Order Systems
     9.4.2 Second-Order Systems
     9.4.3 All-Pass Systems
     9.5 Properties of the Laplace Transform
     9.5.1 Linearity of the Laplace Transform
     9.5.2 Time Shifting
     9.5.3 Shifting in the s-Domain
     9.5.4 Time Scaling
     9.5.5 Conjugation 
     9.5.6 Convolution Property
     9.5.7 Differentiation in the Time Domain
     9.5.8 Differentiation in the s-Domain
     9.5.9 Integration in the Time Domain
     9.5.1O The Initial- and Final-Value Theorems
     9.5.11 Table of Properties
     9.6 Some Laplace Transform Pairs
     9.7 Analysis and Characterization of LTI Systems Dsing the Laplace Transform
     9.7.1 Causality
     9.7.2 Stability
     9.7.3 LTI Systems Characterized by Linear Constant-Coefficient Differential Equations
     9.7.4 Examples Relating System Behavior to the System Function
     9.7.5 Butterworth Filters
     9.8 System Function Algebra and Block Representations
     9.8.1 System Functions for Interconnections of LTI Systems
     9.8.2 Block Diagram Representations for Causal LTI Systems Described by Differential Equations and Rational System Functions
     9.9 The Unilateral Laplace Transform
     9.9.1 Examples of Unilateral Laplace Transforms
     9.9.2 Properties of the Unilateral Laplace Transform
     9.9.3 Solving Differential Equations Using the Unilateral Laplace Transform
     9.10 S
     Problems     
     10 THE Z-TRANSFORM
     10.0 Introduction
     10.1 The z-Transform
     10.2 The Region of Convergence for the z-Transform
     10.3 The Inverse z-Transform
     10.4 Geometric Evaluation of the Fourier Transform from the Pole-Zero Plot
     10.1.1 First-Order Systems
     10.4.2 Second-Order Systems
     10.5 Properties of the z-Transform
     10.5.1 Linearity
     10.5.2 Time Shifting
     10.5.3 Scaling in the z-Domain
     10.5.4 Time Reversal
     10.5.5 Time Expansion
     10.5.6 Conjugation
     10.5.7 The Convolution Property
     10.5.8 Differentiation in the z-Domain
     10.5.9 Ihe Initial-Value Theorem
     10.5.10 S
     10.6 Some Common z-Transform Pairs
     10.1 Analysis and Characterization of LTI Systems Using z-Transforms
     10.7.1 Causality
     10.7.2 Stability
     10.7.3 LTI Systems Characterized by Linear Constant-Coefficient Difference Equations
     10.7.4 Examples Relating System Behavior to the System Function
     10.8 System Function Algebra and Block Diagram Representations
     10.8.1 System Functions for Interconnections of LTI Systems
     10.8.2 Block Diagram Representations for Causal LTI Systems Described by Difference Equations and Rational System Functions
     10.9 The Unilateral z-Transform
     10.9.1 Examples of Unilateral z-Transforms and Inverse Transforms
     10.9.2 Properties of the Unilateral z-Transform
     10.9.3 Solving Difference Equations Using the Unilateral z-Transform
     10.10 S
     Problems
     11 LINEAR FEEDBACK SYSTEMS
     11.0 Introduction
     11.1 Linear Feedback Systems
     11.2 Some Applications and Consequences of Feedback
     11.2.1 Inverse System Design
     11.2.2 Compensation for Nonideal Elements
     11.2.3 Stabilization of Unstable Systems
     11.2.4 Sampled-Data Feedback Systems
     11.2.5 Tracking System
     11.2.6 Destabilization Caused by Feedback
     11.3 Root-Loeus Analysls of Linear Feedbaek Systems
     11.3.1 An Introductory Example
     11.3.2 Equation for the Closed-Loop Poles
     11.3.3 The End Points of the Root Locus: The Closed-Loop Poles for K=O and |K|= +
     11.3.4 The Angle Criterion
     11.3.5 Properties of the Root Locus
     11.4 The Nyquist Stability Criterion
     11.4.1 The Encirclement Property
     11.4.2 The Nyquist Criterion for Continuous-Time LTI Feedback Systems 
     11.4.3 The Nyquist Criterion for Discrete-Time LTI Feedback Systems 
     11.5 Gain and Phase
     11.6 S
     Problems
     APPENDIX PARTIAL-FRACTION EXPANSION
     BIBLIOGRAPHY
     ANSWERS
     INDEX

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本书是美国麻省理工学院电气工程与计算机科学系本科生教材。作者ALAN V.OPPENHEIM教授最本领域中的权威专家，在国际上享有盛名本书是在第一版基础之上经重新组织，重背后必定并做补充而成，除保留原书结构新颖、选材得当、论述严谨、条理清人权等特色外，在某些方面更有所加强。

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