訊號與系統
Signals and Systems
| 節 | 週二 | 週四 |
|---|---|---|
5 13:20–14:10 | 訊號與系統 EO103（光復） | |
6 14:20–15:10 | 訊號與系統 EO103（光復） 2 節連堂 | |
7 15:30–16:20 |
* 根據陽明交大上課時間表所列
Signals and Systems is an introductory course for further studies in optical communication systems, radio frequency communication systems, signal processing and electronic and information engineering. This course covers the fundamental tools used in continuous-time and discrete-time signal and system analysis.
Differentiation and Integration
無備註
Course will be based on powerpoint presentation
作業部份:3-4 homeworks 考試部份:Mid-term exam and final exam 評量部份:Evaluated by homeworks, mid-term and final exam
Introduction
- 講授：
- 3
Linear Time-Invariant Systems
1.Continuous-Time & Discrete-Time Signals 2.Transformations of the Independent Variable 3.Exponential & Sinusoidal Signals 4.The Unit Impulse & Unit Step Functions 5.Continuous-Time & Discrete-Time Systems 6.Basic System Properties 7.Convolution
- 講授：
- 4
Fourier Series Representation of Periodic Signals
1.The Response of LTI Systems to Complex Exponentials 2.Fourier Series Representation of Continuous- Time Periodic Signals 3.Convergence of the Fourier Series 4.Properties of Continuous-Time Fourier Series 5.Fourier Series Representation of Discrete-Time Periodic Signals 6.Properties of Discrete-Time Fourier Series 7.Fourier Series & LTI Systems 8.Filtering & Examples of CT & DT Filters
- 講授：
- 18
The Continuous-Time Fourier Transform
1.Representation of Aperiodic Signals: the Continuous-Time Fourier Transform 2.The Fourier Transform for Periodic Signals 3.Properties of the Continuous-Time Fourier Transform 4.The Convolution Property 5.The Multiplication Property Systems Characterized by Linear Constant- 6.Coefficient Differential Equations
- 講授：
- 4
The Discrete-Time Fourier Transform
1.Representation of Aperiodic Signals: the Discrete-Time Fourier Transform 2.The Fourier Transform for Periodic Signals 3.Properties of Discrete-Time Fourier Transform 4.The Convolution Property 5.The Multiplication Property 6.Duality 7.Systems Characterized by Linear Constant- Coefficient Difference Equations
- 講授：
- 6
Time & Frequency Characterization of Signals and Systems
1.The Magnitude-Phase Representation of the Fourier Transform 2.The Magnitude-Phase Representation of Frequency Response of LTI Systems 3.Time-Domain Properties of Ideal Frequency-Selective Filters 4.Time-Domain and Frequency-Domain Aspects of Non-ideal Filters
- 講授：
- 6
Sampling
1.Representation of of a Continuous-Time Signal by Its Samples: The Sampling Theorem 2.Reconstruction of of a Signal from Its Samples Using Interpolation 3.Discrete-Time Processing of Continuous-Time Signals 4.Sampling of Discrete-Time Signals
- 講授：
- 3
Communication Systems
1.Complex Exponential & Sinusoidal Amplitude Modulation & Demodulation 2.Frequency-Division Multiplexing 3.Single-Sideband Sinusoidal Amplitude Modulation 4.Amplitude Modulation with a Pulse-Train Carrier 5.Pulse-Amplitude Modulation 6.Sinusoidal Frequency Modulation
- 講授：
- 6
The Laplace Transform
1.The Laplace Transform 2.The Region of Convergence for Laplace Transforms 3.The Inverse Laplace Transform 4.Geometric Evaluation of the Fourier Transform 5.Properties of the Laplace Transform 6.Some Laplace Transform Pairs 7.Analysis & Characterization of LTI Systems Using the Laplace Transform 8.System Function Algebra and Block Diagram Representations
- 講授：
- 6
The z-Transform
1.The z-Transform 2.The Region of Convergence for z-Transforms 3.The Inverse z-Transform 4.Geometric Evaluation of the Fourier Transform 5.Properties of the z-Transform 6.Some Common z-Transform Pairs 7.Analysis & Characterization of LTI Systems Using the z-Transforms 8.System Function Algebra and Block Diagram Representations
- 講授：
- 3
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction 2023-09-12(二),2023-09-14(四) |
| 第 2 週 | Linear Time-Invariant Systems 2023-09-19(二),2023-09-21(四) |
| 第 3 週 | Linear Time-Invariant Systems 2023-09-26(二),2023-09-28(四) |
| 第 4 週 | Fourier Series Representation of Periodic Signals 2023-10-03(二),2023-10-05(四) |
| 第 5 週 | Fourier Series Representation of Periodic Signals 2023-10-10(二),2023-10-12(四) |
| 第 6 週 | Fourier Series Representation of Periodic Signals 2023-10-17(二),2023-10-19(四) |
| 第 7 週 | The Continuous-Time Fourier Transform 2023-10-24(二),2023-10-26(四) |
| 第 8 週 | The Continuous-Time Fourier Transform 2023-10-31(二),2023-11-02(四) |
| 第 9 週 | The Discrete-Time Fourier Transform 2023-11-07(二),2023-11-09(四) |
| 第 10 週 | The Discrete-Time Fourier Transform 2023-11-14(二),2023-11-16(四) |
| 第 11 週 | Time & Frequency Characterization of Signals and Systems 2023-11-21(二),2023-11-23(四) |
| 第 12 週 | Time & Frequency Characterization of Signals and Systems 2023-11-28(二),2023-11-30(四) |
| 第 13 週 | Sampling 2023-12-05(二),2023-12-07(四) |
| 第 14 週 | Communication Systems 2023-12-12(二),2023-12-14(四) |
| 第 15 週 | Communication Systems 2023-12-19(二),2023-12-21(四) |
| 第 16 週 | The Laplace Transform 2023-12-26(二),2023-12-28(四) |
| 第 17 週 | The Z Transform 2024-01-02(二),2024-01-04(四) |
| 第 18 週 | Final Exam 2024-01-09(二),2024-01-11(四) |
Text: Signals and Systems, 2003, 2nd Ed. Simon Haykin and Barry Van Vee, Wiley Ref: Signals and Systems, 1997, 2nd Ed. by Oppenheim and Willsky, Prentice Hall
- 地點
- Tin Ka Ping Building, Rm. 216A
- 時間
- Thursday H-Y or Anytime by appointment
- 聯絡方式
- By email: cwchow@nycu.edu.tw By phone: 03-5712121 ext 56334