Signal and Systems 教師：潘欣泰.

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1 Signal and Systems 教師：潘欣泰

2 本課程目標 學生能熟悉離散及連續信號的時域和頻域的特性及運算 對線性非時變(LTI)系統的頻域分析及其輸入輸出信號的關係有基本的瞭解
學生在學習完本課程之後，應能熟悉傅立葉分析(Fourier analysis)及拉式轉換(Laplace Transform)及z-轉換(z transform)的相關技巧。

3 授課方式 投影片授課 抽問 測驗 Matlab 實驗

4 課程內容 Introduction Time-domain reprtesentations of linear time-invariant systems Fourier reprtesentations of signal and linear time-invariant systems Application of Fourier representations to mixed signal classes Representation signals by using continuous-time complex exponentials: the Laplace transform

5 上課書籍 教科書：Simon Haykin and Barry Van Veen, "Signals and Systems," 2nd Edition, Wiley, 2003. 參考書：Alan V. Oppenheim, Alan S. Willsky, and S. Hamid Nawab, "Signals and Systems," Prentice Hall, 1997.

6 評分 平時測驗 30% Homework 20% 期中考 20% 期末考 20% 出席成績 10%

7 one dimensional (depend on single variable) — e.g. speech signal
1.1 What is a signal? A signal is formally defined as a function of one or more variables that conveys information on the nature of a physical phenomenon. one dimensional (depend on single variable) — e.g. speech signal Multidimensional (depend on two or more variable)– e.g. image singnal (two dimensional) 1.2 What is a system? A system is formally defined as an entity that manipulates one or more signals to accomplish a function, thereby yielding new signals. Figure 1.1 (p. 2) Block diagram representation of a system.

8 EEG signal

9 EEG signal & sleep

10 EEG, EOG and EMG & sleep

11 ECG signal

12 Speech signal