Goal and Overview:
<br>This course introduces basic mathematical tools to analyze continuous/discrete-time 
<br>signals and linear time-invariant systems that may be encountered in many 
<br>disciplines of electrical engineering, such as signal processing, communications, 
<br>circuit design, and control. In this course, we will cover topics such as 
<br>convolution, filtering, sampling, Fourier series, Fourier transform, Laplace 
<br>transform, and the z-transform. In essence, students will learn how to view and 
<br>process signals in both time and frequency domains.
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<br>Related Topics: Calculus, Linear Algebra.
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<br>Textbook Book:
<br>Alan V. Oppenheim and Alan S. Willsky, with S. Hamid Nawab, Signals and
<br>Systems, 2nd Ed., Pearson Education Limited, 2014 (or Prentice-Hall, 1997)
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<br>References: (not required)
<br>1. Matthew N. O. Sadiku and Warsame H. Ali, Signals and Systems: A Primer with 
<br>MATLAB&#174;, CRC Press, 2016
<br>2. Simon Haykin and Barry Van Veen, Signals and Systems, 2nd Ed., John Wiley & Sons, 
<br>Inc., 2003
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<br>Syllabus:
<br>1. Introduction to Signals and Systems
<br>2. Linear Time-Invariant Systems
<br>3. Fourier Series Representation of Periodic Signals
<br>4. The Continuous-Time Fourier Transform
<br>5. The Discrete-Time Fourier Transform
<br>6. Time and Frequency Characterization of Signals and Systems
<br>7. Sampling
<br>8. The Laplace Transform
<br>9. The z-Transform
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<br>Evaluation: Homework 30%; Midterm 35%; Finals 35%
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<br>Course Website: https://eeclass.nthu.edu.tw/
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