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课程编码：08265007
课程名称：信号系统与信号处理
英文名称：Signals, Systems and Signal Processing
开课学期：4
学时/学分：96 / 6
课程类型：学科基础必修课
开课专业：测控技术与仪器专业、电气工程与自动化专业本科生
选用教材：Signals and Systems,影印本(第二版)，By Oppenheim A V,清华大学出版社，1998
Digital Signal Processing Using MATLAB，By Vinay K. Ingle, John G. Proakis，科学出版社，2003
主要参考书：
1.郑君里.信号与系统.高等教育出版社.2000
2.刘树棠译.信号与系统计算机练习—利用MATLAB.西安交大出版社.2000
3.吴大正.信号与线性系统分析(第三版).高等教育出版社.2000
4.冯博琴等译.信号、系统与信号处理.机械工业出版社.2001
5.胡广书.数字信号处理导论.清华大学出版社. 2005
6.丁玉美.高西全.数字信号处理.西安电子科技大学出版社. 2001
7.Oppenheim A V and Schafer R W. Digital Signal processing. Prentice-Hall Inc. 1975
8. A V奥本海姆,R W谢弗著,黄建国、刘树棠译.离散时间信号处理.科学出版社.2000
9.Orfanidis S J. Introduction to Signal processing(影印版).清华大学出版社.Prentice Hall. 1999
10. James H. McClellan,Ronald W. Schafer and Mark A. Yoder. DSP First: A Multimedia Approach.科学出版社.2003
11. Sanjit K.Mitra,DIGITAL SIGNAL PROCESSING---A CONPUTER—BASED APPROACH（SECOND EDITION）. McGraw-Hill and Tsinghua University Press.2001
执笔人：陈祖斌 王忠仁 王中
主审人：程德福
一、课程性质、目的与任务
本课程是测控技术与仪器，电气工程及其自动化两个本科专业必修的学科基础课。随着科学技术的发展，信号、系统与信号处理的概念和方法己广泛应用于许多不同领域和学科。本课程的任务是使学生掌握信号与线性系统分析的基本理论和方法，掌握数字信号处理的基本原理、基本方法和基本技术，为进一步学习后续课程奠定理论基础。
二、教学基本要求
本课程要求能使学生树立从不同角度(时域、频域与复频域)来观察信号的思想，尤其是频率域角度；全面掌握线性时不变系统的不同分析方法(时域法、频域法、复频域法、状态变量法)；掌握离散时间信号与系统，掌握Z变换、离散Fourier变换及快速算法，掌握IIR与FIR数字滤波器设计。用习题练习、MATLAB软件上机以加深对各种分析方法的理解与掌握，有良好的计算能力和上机及实验技能。
三、各章节内容及学时分配
Part I：Signals and Systems（理论教学42学时）
Chapter 1: Basic Conceptions 3学时
1.1Continuous-Time and Discrete-Time Signals
1.2Transformations of the Independent Variable
1.3Exponential and Sinusoidal signals
1.4The Unit Impulse and Unit Step Functions
1.5Continuous-Time and Discrete-Time Systems
1.6Basic System Properties
Chapter 2 Linear Time-Invariant Systems 5学时
2.1 Discrete-Time LTI Systems: The Convolution Sum
2.2 Continuous-Time LTI Systems: The Convolution Integral
2.3 Properties of Linear Time-Invariant Systems
2.4 Causal LTI Systems Described by Differential and Difference Equations
2.5 Singularity Functions
Chapter 3 Fourier Series Representation of Periodic Signals 6学时
3.1 The Response of LTI Systems to Complex Exponentials
3.2 Fourier Series Representation of Continuous-Time Periodic Signals
3.3 Convergence of the Fourier Series
3.4 Properties of Continuous-Time Fourier Series
3.5 Fourier Series Representation of Discrete-Time Periodic signals
3.6 Properties of Discrete-Time Fourier Series
3.7 Fourier Series and LTI Systems
3.8 Filtering
3.9 Examples of Continuous-Time Filters Described by Differential Equations
3.10 Examples of Discrete-Time Filters Described by Difference Equations
Chapter 4 The Continuous-Time Fourier Transform 6学时
4.1 Representation of Aperiodic Signals: The Continuous-Time Fourier Transform
4.2 The Fourier Transform for Periodic Signals
4.3 Properties of the Continuous-Time Fourier Transform
4.4 The Convolution Property
4.5 The Multiplication Property
4.6 Tables of Fourier Properties and of Basic Fourier Transform Pairs
4.7 Systems Characterized by Linear Constant-Coefficient Differential Equations
Chapter 5 Time and Frequency Characterization of Signals and Systems 6学时
5.1 The Magnitude-Phase Representation of the Fourier Transform
5.2 The Magnitude-Phase Representation of the Frequency Response of LTI System
5.3 Time-Domain Properties of Ideal Frequency-Selective Filters
5.4 Time-Domain and Frequency-Domain Aspects of Nonideal Filter
5.5 First-Order and Second-Order Continuous-Systems
5.6 First-Order and Second-Order Discrete-Systems
5.7 Examples of Time- and Frequency-Domain Analysis of Systems
Chapter 6 Sampling 4学时
6.1 Representation of a Continuous-Time Signal by Its Samples: The Sampling Theorem
6.2 Reconstructions of a Signal from Its Sampling Using Interpolation
6.3 The Effect of Undersampling: Aliasing
6.4 Discrete-Time Processing of Continuous-Time Signals
6.5 Sampling of Discrete-Time Signals
Chapter 7 Communication Systems 4学时
7.1 Complex Exponential and Sinusoidal Amplitude Modulation
7.2 Demodulation for Sinusoidal AM
7.3 Frequency-Division Multiplexing
7.4 Signal-Sideband Sinusoidal Amplitude Modulation
7.5 Amplitude Modulation with a Pulse-Train Carrier
7.6 Pulse-Amplitude Modulation
7.7 Sinusoidal Frequency Modulation
7.8 Discrete-Time Modulation
Chapter 8 The Laplace Transform 5学时
8.1 The Laplace Transform
8.2 The Region of Convergence for Laplace Transforms
8.3 The Inverse Laplace Transform
8.4 Geometric Evaluation of the Fourier Transform from the Pole-Zero Plot
8.5 Properties of the Laplace Transform
8.6 Some Laplace Transform Pairs
8.7 Analysis and Characterization of LTI Systems Using the Laplace Transform
8.8 System Function Algebra and Block Diagram Representations
8.9 The Unilateral Laplace Transform
Chapter 9 Linear Feedback Systems 3学时
9.1 Linear Feedback Systems
9.2 Some Applications and Consequences of Feedback
9.3 Root-Locus Analysis of Linear Feedback Systems
9.4 The Nyquist Stability Criterion
9.5 Gain and Phase Margins
Part II Digital Signal Processing（理论教学36学时）
Chapter 10 The z-Transform 5学时
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
10.5 Properties of the z-Transform
10.6 Some Common z-Transform Pairs
10.7 Analysis and Characterization of LTI Systems Using z-Transform
10.8 System Function Algebra and Block Diagram Representations
10.9 The Unilateral z-Transform
Chapter 11 The Discrete-Time Fourier Transform 6学时
11.1 Representation of Aperiodic Signals: The Discrete-Time Fourier Transform
11.2 The Fourier Transform for Periodic Signals
11.3 Properties of the Discrete-Time Fourier Transform
11.4 The Convolution Property
11.5 The Multiplication Property
11.6 Tables of Fourier Properties and of Basic Fourier Transform Pairs
11.7 Duality
11.8 Systems Characterized by Linear Constant-Coefficient Difference Equations
Chapter 12 The Discrete Fourier Transform 6学时
12.1 The Discrete Fourier Series
12.2 Sampling and Reconstruction in the z-Domain
12.3 The Discrete Fourier Transform
12.4 Properties of the Discrete Fourier Transform
12.5 Linear Convolution Using the DFT
12.6 The Fast Fourier Transform
Chapter 13 Digital Filter Structures 3学时
13.1 Basic Elements
13.2 IIR Filter Structures
13.3 FIR Filter Structures
13.4 Lattice Filter Structures
Chapter 14 FIR Filter Design 6学时
14.1 Preliminaries
14.2 Properties of Linear-phase FIR Filters
14.3 Windows Design Techniques
14.4 Frequency Sampling Design Techniques
14.5 Optimal Equiripple Design Technique
Chapter 15 IIR Filter Design 8学时
15.1 Some Preliminaries
15.2 Characteristics of Prototype Analog Filters
15.3 Analog-to-Digital Filter Transformations
15.4 Lowpass Filter Design Using MATLAB
15.5 Frequency-band Transformations
15.6 Comparison of FIR vs. IIR Filters
四、实验安排
本课程实验分课内实验与课外实验两部分，其中课内实验20课时，课外实验16课时，具体实验内容与要求见《“信号、系统与信号处理”实验课程教学大纲》，课时安排如下表：
序号
| 实验项目
| 内容提要
| 实验
类型
| 学时
分配
| 主要仪器
设 备
| 实验
地点
| 备注
|
1
| 滤波器
| 了解无源和有源滤波器的种类、基本结构及其特性
| 课内基础实验
| 2
| 微机、
实验包
| 地质宫
|
|
2
| 一阶电路的响应
| 了解一阶电路的瞬态响应、零输入响应、零状态响应及完全响应
| 课内基础实验
| 2
| 微机、
实验包
| 地质宫
|
|
3
| 二阶网络函数的模拟
| 掌握求解系统响应的模拟解法
| 课内设计性实验
| 2
| 微机、
实验包
| 地质宫
|
|
4
| 方波信号的分解及合成
| 了解方波信号的分解及合成
| 课内基础实验
| 2
| 微机、
实验包
| 地质宫
|
|
5
| 抽样定理
| 了解电信号的采样方法与过程以及信号恢复的方法
| 课内基础实验
| 2
| 微机、
实验包
| 地质宫
|
|
6
| 数据采集
| 了解对连续信号的数据采集
| 课内设计性实验
| 2
| 微机、
实验包
| 地质宫
|
|
7
| 离散系统的频率响应分析和零、极点分布
| 加深对离散系统的频率响应分析和零、极点分布的概念理解
| 课内设计性实验
| 2
| 微机
| 地质宫
|
|
8
| FFT算法
| 熟悉FFT算法原理和FFT子程序的应用
| 课内设计性实验
| 2
| 微机
| 地质宫
|
|
9
| IIR数字滤波器的设计
| 用双线性变换法设计各种低通数字滤波器
| 课内设计性实验
| 2
| 微机
| 地质宫
|
|
10
| FIR数字滤波器的设计
| 选用不同的窗函数设计各种低通、高通、带通、带阻数字滤波器
| 课内设计性实验
| 2
| 微机
| 地质宫
|
|
11
| MATLAB软件基本练习
| 熟悉MATLAB软件
| 课外基础实验
| 6
| 微机
| 地质宫
|
|
12
| 二阶电路的瞬态响应
| 观察和测定RLC串联电路的阶跃响应和冲激响应
| 课外基础实验
| 2
| 微机、
实验包
| 地质宫
|
|
13
| 信号、系统及系统响应
| 熟悉连续信号经理想采样前后的频谱变化关系；加深对采样定理的理解； 利用序列的Fourier变换进行频域分析
| 课外设计性实验
| 4
| 微机
| 地质宫
|
|
14
| 数据采集系统设计
| 了解通用多通道数据采集系统的设计框架
| 课外设计性实验
| 4
| 微机、
实验包
| 地质宫
|
|
五、考核方式：笔试（闭卷）占70%，实验占20%，平时作业占10%。
六、其它信息：无
