國立清華大學電機工程學系 特聘教授
美國康乃爾大學電機 博士
【教學網站】 | https://ywhong.ee.nthu.edu.tw |
【授課領域】 | 訊號與系統、通訊之隨機程序 |
【研究專長】 | 無線通訊、通訊訊號處理、巨量數據分析、統計學習 |
【實驗室網站】 | https://ccrg.ee.nthu.edu.tw |
【實驗室簡介】 | https://reurl.cc/yY7g1E |
https://reurl.cc/541qDR |
【教學網站】 | https://ywhong.ee.nthu.edu.tw |
【授課領域】 | 訊號與系統、通訊之隨機程序 |
【研究專長】 | 無線通訊、通訊訊號處理、巨量數據分析、統計學習 |
【實驗室網站】 | https://ccrg.ee.nthu.edu.tw |
【實驗室簡介】 | https://reurl.cc/yY7g1E |
https://reurl.cc/541qDR |
This course introduces basic mathematical tools to analyze continuous/discrete-time signals and linear time-invariant systems that may be encountered in many disciplines of electrical engineering, such as signal processing, communications, circuit design, and control. In this course, we will cover topics such as convolution, filtering, sampling, Fourier series, Fourier transform, Laplace transform, and the z-transform. In essence, students will learn how to view and process signals in both time and frequency domains.
♠ | Goal and Overview |
This course introduces basic mathematical tools to analyze continuous/discrete-time signals and linear time-invariant systems that may be encountered in many disciplines of electrical engineering, such as signal processing, communications, circuit design, and control. In this course, we will cover topics such as convolution, filtering, sampling, Fourier series, Fourier transform, Laplace transform, and the z-transform. In essence, students will learn how to view and process signals in both time and frequency domains. | |
♠ | Related Topics |
Calculus, Linear Algebra. | |
♠ | Alan V. Oppenheim and Alan S. Willsky, with S. Hamid Nawab, Signals and |
Systems, 2nd Ed., Pearson Education Limited, 2014 (or Prentice-Hall, 1997) | |
ISBN:9781292025902 |
1. | |
ISBN:9780367737771 | |
2. | |
John Wiley & Sons,Inc., 2003 | |
ISBN:9780471378518 |
1. | Introduction to Signals and Systems |
2. | Linear Time-Invariant Systems |
3. | Fourier Series Representation of Periodic Signals |
4. | The Continuous-Time Fourier Transform |
5. | The Discrete-Time Fourier Transform |
6. | Time and Frequency Characterization of Signals and Systems |
7. | Sampling |
8. | The Laplace Transform |
9. | Thez-Transform |
♠ Evaluation: Homework 30%; Midterm 35%; Finals 35% |