課程資訊
課程名稱
 訊號與系統
Signals and Systems 
開課學期
 100-2 
授課對象
 工學院  機械工程學研究所  
授課教師
 李 綱 
課號
 ME5224 
課程識別碼
 522 U5080 
班次
  
學分
 3 
全/半年
 半年 
必/選修
 選修 
上課時間
 星期二5,6,7(12:20~15:10) 
上課地點
 綜103 
備註
 總人數上限：60人 
Ceiba 課程網頁
 http://ceiba.ntu.edu.tw/1002_signals_systems 
課程簡介影片
 
核心能力關聯
 核心能力與課程規劃關聯圖
課程大綱
為確保您我的權利,請尊重智慧財產權及不得非法影印
課程概述

1. Continuous-time and Discrete-time Signals
2. System and Laplace Transform Overview
3. Linear Time-invariant (LTI) Systems
4. Continuous and Discrete time Fourier Series
5. Fourier Transform (CFT and DFT) and fast Fourier Transform (FFT)
6. Time and Frequency Characterization of Signals and Systems
7. Sampling
8. z-Transform
9. Modified z-Transform and its Applications
10. Filter Overview
11. Finite Impulse Response (FIR) Digital Filter Design
12. Infinite Impulse Response (IIR) Digital Filter Design
 

課程目標
 介紹訊號與系統的基本概念及應用，著重於離散訊號與系統。使同學能整合訊號與系統的概念，對訊號與系統有一完整的認識。 
課程要求
  
預期每週課後學習時數
  
Office Hours
 每週二 16:30~17:30
每週四 12:00~13:30 
指定閱讀
 Simon Haykin and Barry Van Veen, Signals and Systems. 2nd ed., John Wiley & Sons, Inc. ISBN: 978-0-471-37851-8 
參考書目
 Oppenheim, Alan, and Alan Willsky. Signals and Systems. 2nd ed. Upper Saddle
River, NJ: Prentice Hall, 1996. ISBN: 9780138147570.  
評量方式
(僅供參考)
    
課程進度
週次
日期
單元主題
Week 1
 02/21  Introduction: What is a signal/system? Classification of signals. Basic operations on signals. Elementary signals. System viewed as interconnections of operations. Properties of systems. 
Week 2
 03/06  Time-Domain Representations of Linear Time-Invariant Systems: convolution sum, convolution integral, interconnections of LTI systems, LTI system properties versus impulse response, step response, difference and differential equation representations of LTI systems. 
Week 3
 03/13  Time-Domain Representations of LTI Systems: Differential and difference equation representations of LTI systems, block diagram representations, state-variable representations. 
Week 4
 03/20  Fourier Representations of Signals & LTI Systems: DTFS, FS, DTFT, FT, properties of Fourier representations 
Week 5
 03/27  1. Fourier Representations of Signals & LTI Systems: inverse FTs by partial-fraction expansions, multiplication/scaling/convolution/time-and-frequency shift properties, Parseval relationships, time-bandwidth product, duality
2. Applications of Fourier Representations to Mixed Signal Classes 
Week 6
 04/10  1.Fourier Representations of Signals & LTI Systems: inverse FTs by partial-fraction expansions, multiplication/scaling/convolution/time-and-frequency shift properties, Parseval relationships, time-bandwidth product, duality  
Week 7
 04/17  Fourier Representations of Signals & LTI Systems: inverse FTs by partial-fraction expansions, multiplication/scaling/convolution/time-and-frequency shift properties, Parseval relationships, time-bandwidth product, duality  
Week 8
 04/24  1. Take-home Midterm Exam; 2. Applications of Fourier Representations to Mixed Signal Classes: FT representations of periodic signals, convolution and multiplication with mixtures of periodic and non-periodic signals, FT representation of DT signals, sampling, signal reconstruction, DT processing of CT signals, FS representations of finite-duration non-periodic signals, DTFS approximation to FT, FFT 
Week 9
 05/01  Application to Communication Systems: types of modulation, amplitude modulation,double sideband-suppressed carrier modulation, multiplexing, phase and group delays;  
Week 10
 05/08  Signal Representations by CT Complex Exponentials: Laplace Transform, region of convergence, unilateral and bilateral Laplace transform, transfer function, causality and stability 
Week 11
 05/15  Application to Communication Systems: types of modulation, amplitude modulation,double sideband-suppressed carrier modulation, multiplexing, phase and group delays;  
Week 12
 05/22  Representing Signals by Using Discrete-Time Complex Exponentials: z-transform, region of convergence, causality and stability, determining the frequency response from poles and zeros 
Week 13
 05/29  Applications to Filters and Equalizers: distortionless transmission, low-pass filters, approximating functions, frequency transformation, passive filters, digital filters, FIR & IIR digital filters, linear distortion, equalization. 
Week 14
 06/05  Applications to Filters and Equalizers: distortionless transmission, low-pass filters, approximating functions, frequency transformation, passive filters, digital filters, FIR & IIR digital filters, linear distortion, equalization. 
Week 15
 06/12  Applications to Linear Feedback Systems: feedback concepts, sensitivity analysis, effect of feedback on disturbance or noise, distortion analysis, operational amplifiers, control systems, transient response of low-order systems, stability problem, Routh-Hurwitz criterion, Nyquist stability criterion, Bode diagram, sampled-data systems