Transcript Signal and Systems 教師：潘欣泰

Signal and Systems
教師：潘欣泰
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。
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授課方式
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投影片授課
抽問
測驗
Matlab 實驗
課程內容
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Introduction
Time-domain reprtesentations of linear timeinvariant systems
Fourier reprtesentations of signal and linear
time-invariant systems
Application of Fourier representations to mixed
signal classes
Representation signals by using continuoustime complex exponentials: the Laplace
transform
Representation signals by using continuoustime complex exponentials: the Laplace
transform
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.
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評分
平時測驗 30%
 Homework 20%
 期中考 20%
 期末考 20%
 出席成績 10%
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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.
EEG signal
EEG signal & sleep
EEG, EOG and EMG & sleep
ECG signal
Speech signal