卡门等著的这本《信号与系统基础——应用Web与MATLAB(第3版)(英文影印版)》综合介绍了连续时间和离散时间信号系统，并有Web演示和MATLAB实例贯穿全书各个章节。全书主要内容有由微分及差分方程定义的系统、卷积表示、傅里叶级数及变换、系统的频域分析、通信应用、离散时间信号的分析、数字滤波器和控制器的设计、状态表示等。

卡门等著的这本《信号与系统基础——应用Web与MATLAB(第3版)(英文影印版)》介绍了信号与系统的基本理论、基本分析方法及其应用，包括11章内容：第1章到第7章是信号与系统的基本内容，讨论了时域中信号与系统的各种特性以及连续和离散时间系统的各种模型；从频域的观点分析了信号与系统，讨论了离散时间傅里叶变换（DTFT）和离散傅里叶变换（DFT），系统的傅里叶分析，拉普拉斯变换，z变换和线性时不变系统的传输函数表示法等内容；第8章以后为扩展内容，包括利用传输函数表示法分析线性时不变连续时间系统，将传输函数思想用于控制问题；将拉普拉斯和z变换的思想用于数字滤波器和控制器的设计；对线性时不变连续时间和离散时间系统的状态描述的基本理论进行了阐述。另外，本书还给出了大量的MATLAB软件仿真实例。

《信号与系统基础——应用Web与MATLAB(第3版)(英文影印版)》可作为电类各专业信号与系统课程的双语教材或参考书，也可供工程技术人员参考。

Preface

CHAPTER 1 Fundamental Concepts

 1.1 Continuous-Time Signals

 1.2 Discrete-Time Signals

 1.3 Systems

 1.4 Examples of Systems

 1.5 Basic System Properties

 1.6 Chapter Summary

 Problems

CHAPTER 2 Time-Domain Models of Systems

 2.1 Input/Output Representation of Discrete-Time Systems

 2.2 Convolution of Discrete-Time Signals

 2.3 Difference Equation Models

 2.4 Differential Equation Models

 2.5 Solution of Differential Equations

 2.6 Convolution Representation of Continuous-Time Systems

 2.7 Chapter Summary

 Problems

CHAPTER 3 The Fourier Series and Fourier Transform

 3.1 Representation of Signals in Terms of Frequency Components

 3.2 Trigonometric Fourier Series

 3.3 Complex Exponential Series

 3.4 Fourier Transform

 3.5 Spectral Content of Common Signals

 3.6 Properties of the Fourier Transform

 3.7 Generalized Fourier Transform

 3.8 Application to Signal Modulation and Demodulation

 3.9 Chapter Summary

 Problems

CHAPTER 4 Fourier Analysis of Discrete-Time Signals

 4.1 Discrete-Time Fourier Transform

 4.2 Discrete Fourier Transform

 4.3 DFT of Truncated Signals

 4.4 FFT Algorithm

 4.5 Application to Data Analysis

 4.6 Chapter Summary

 Problems

CHAPTER 5 Fourier Analysis of Systems

 5.1 Fourier Analysis of Continuous-Time Systems

 5.2 Response to Periodic and Nonperiodic Inputs

 5.3 Analysis of Ideal Filters

 5.4 Sampling

 5.5 Fourier Analysis of Discrete-Time Systems

 5.6 Application to Lowpass Digital Filtering

 5.7 Chapter Summary

 Problems

CHAPTER 6 The Laplace Transform and the Transfer Function Representation

 6.1 Laplace Transform of a Signal

 6.2 Properties of the Laplace Transform

 6.3 Computation of the Inverse Laplace Transform

 6.4 Transform of the Input/Output Differential Equation

 6.5 Transform of the Input/Output Convolution Integral

 6.6 Direct Construction of the Transfer Function

 6.7 Chapter Summary

 Problems

CHAPTER 7 The z-Transform and Discrete-Time Systems

 7.1 z-Transform of a Discrete-Time Signal

 7.2 Properties of the z-Transform

 7.3 Computation of the Inverse z-Transform

 7.4 Transfer Function Representation

 7.5 System Analysis Using the Transfer

 Function Representation

 7.6 Chapter Summary

 Problems

CHAPTER 8 Analysis of Continuous-Time Systems

 by Use of the Transfer Function

 Representation

 8.1 Stability and the Impulse Response

 8.2 Routh-Hurwitz Stability Test

 8.3 Analysis of the Step Response

 8.4 Response to Sinusoids and Arbitrary Inputs

 8.5 Frequency Response Function

 8.6 Causal Filters

 8.7 Chapter Summary

 Problems

CHAPTER 9 Application to Control

 9.1 Introduction to Control

 9.2 Tracking Control

 9.3 Root Locus

 9.4 Application to Control System Design

 9.5 Chapter Summary

 Problems

CHAPTER 10 Design of Digital Filters and Controllers

 10.1 Discretization

 10.2 Design of IIR Filters

 10.3 Design of IIR Filters Using MATLAB

 10.4 Design of FIR Filters

 10.5 Design of Digital Controllers

 10.6 Chapter Summary

 Problems

CHAPTER 11 State Representation

 11.1 State Model

 11.2 Construction of State Models

 11.3 Solution of State Equations

 11.4 Discrete-Time Systems

 11.5 Equivalent State Representations

 11.6 Discretization of State Model

 11.7 Chapter Summary

 Problems

Appendix A Brief Review of Complex Variables

Appendix B Brief Review of Matrices

Bibliography