Spring 2014
Digital Signal Processing
Time:
Instructor:
TA:
Prerequisites:
Handout:
10:10am-Noon
9:00am-9:50am
ED301 Tuesday
ED301 Wednesday
王聖智 ( Sheng-Jyh Wang), ED649, x31878
shengjyh@faculty.nctu.edu.tw
http://archer.ee.nctu.edu.tw/~shengjyh
吳佩珊，ED634，5712121 ext 54177
stan505.ee98@g2.nctu.edu.tw
羅國強，ED634，5712121 ext 54177
roberjohn1053@gmail.com
Signals & Systems
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)
Course Text:
Discrete-time Signal Processing, 3rd Edition
by A.V. Oppenheim and R.W. Schafer, Prentice Hall, 2010.
References: Digital Signal Processing: A Computer-Based Approach, 2nd Edition
by S. K. Mitra, McGraw-Hill, 2002.
Digital Signal Processing: Principles, Algorithms, and Applications,
3rd Edition by J. G. Proakis & D. G. Manolakis, Prentice Hall, 1996.
Understanding Digital Signal Processing, 3rd Edition
by Richard G. Lyons, Pearson, 2011.
Digital Signal Processing: Spectral Computation and Filter Design,
by Chi-Tsong Chen, Oxford University Press, 2001
The Scientist and Engineer's Guide to Digital Signal Processing,
by Steven W. Smith, California Technical Publishing, 1997
(available at http://www.dspguide.com/)
Grading:
Before-Class Homework
After-Class Homework
Midterm Exam
Final Exam
10%
20%
30%
40%
Course Schedule:
Week
1
Dates
2/18, 2/19
2
2/25, 2/26
3
4
3/4, 3/5
3/11, 3/12
5
6
7
8
3/18, 3/19
3/25, 3/26
4/1, 4/2
4/8, 4/9
9
4/15, 4/16
10
11
12
13
14
15
16
17
18
4/22, 4/23
4/29, 4/30
5/6, 5/7
5/13, 5/14
5/20, 5/21
5/27, 5/28
6/3, 6/4
6/10, 6/11
6/17
Course Content
Review of “Signals & Systems”
Discrete-time Signals
Discrete-time Systems
Discrete-time Fourier Transform
Sampling of Continuous-time Signals
Sampling of Continuous-time Signals
Changing the Sampling Rate
Z-transform
Transform Analysis of LTI Systems
Relationship between Magnitude & Phase
Minimum-Phase Systems
Generalized Linear Phase System
Structures for Discrete-time Systems
Finite-Precision Numerical Effects
4/22 Midterm Exam
IIR Filter Design
IIR Filter Design
FIR Filter Design
FIR Filter Design
Discrete Fourier Transform
Fast Fourier Transform
Fourier Analysis of Signals Using the DFT
Final Exam