Digital Signal Processing (Spring 2022)

Instructor:

• 王聖智 (Sheng-Jyh Wang)
• Contact information:

✓ ED649, x31878
✓ Email: shengjyh@nycu.edu.tw
✓ http://vlab.ee.nctu.edu.tw/course/

Lecture Format:

• Offline Lectures

✓ Pre-recorded videos available at E3@NYCU

• Online Lectures

10:10 – Noon (Tuesday)
✓ At https://meet.google.com/ows-dtpx-kpr
✓ Briefing of course outline and lecture contents
✓ Announcement of course-related information
✓ Question answering

• Office hours

✓ 13:20 – 14:10 (Thursday)

Prerequisite:

• Linear algebra
• Signals & Systems

Textbook:

• Discrete-time Signal Processing, 3rd Edition (International Edition)

by A.V. Oppenheim and R.W. Schafer, Prentice Hall, 2010.

Handouts:

• Modified from the DSP handouts of Professor Hsueh-Ming Hang
(改編自杭學鳴教授之數位訊號處理講義)

TA:

• 詹坤霖 (Kun-Lin Chan)

✓ ED529
✓ https://meet.google.com/qcp-dtaf-zbr (for TA office hour)
✓ Email: ilovetaiwan37@gmail.com

Grading:

• Homework 25%
• Midterm Exam (2-hour, Open Book) 30%

10:10 – 12:10, 2022/04/12 (Tuesday)

• Final Exam (3-hour, Open Book) 45%

9:10 – 12:10, 2022/05/31 (Tuesday)

Course Outline:

1. Review of Signals & Systems
2. Discrete-time Signals & Systems
3. Discrete-time Fourier Transform (DTFT)
4. Sampling of Continuous-time Signals
5. Z-transform
6. Transform Analysis of LTI Systems
7. Structure for Discrete-time Systems
8. Filter Design
9. Discrete Fourier Transform (DFT)
10. Computation of DFT