ECE 410 - Digital Signal Processing I
Fall 2009
Instructors:
|
Prof.
Yoram Bresler |
Prof.
Andy Singer |
|
Email:
ybresler at Illinois.edu |
Email:
acsinger at Illinois.edu |
|
Office:
112 CSL |
Office:
110 CSL |
Instructor
Office hours:
by appointment
Lectures:
|
Section
E |
Monday |
1:00
– 1:50 pm |
253
MEB |
|
Wednesday, Friday |
1:00
- 2:20 pm |
||
|
Section
G |
Monday |
3:00
– 3:50 pm |
269
Evrt |
|
Wednesday,
Friday |
3:00
- 4:20 pm |
*
Professors Bresler and Singer will alternate teaching both sections throughout
the semester
Teaching Assistants:
|
Felice
Cheng (fcheng3@illinois.edu) |
Fan Lam (fanlam1@illinois.edu |
|
Behzad
Sharif (sharif@illinois.edu) |
Charles
Spuckler (spuckler@illinois.edu) |
|
Recitation |
Office Hours |
Location |
TA Name |
|
Mon 5:30-6:00 |
Mon 6:00-7:00 |
241 Evrt |
Fan Lam |
|
Tue 5:00-6:30 Held on quiz weeks (Nov 3rd
and Nov 17th) |
257 Evrt |
Behzad Sharif |
|
|
Wed 5:00-7:00 |
257 Evrt |
Charles Spuckler |
|
|
Thu
5:00-7:00 |
257 Evrt |
Felice Cheng |
|
|
Fri 9:00-11:00 |
104 Talbot
Lab |
Charles Spuckler |
|
Course Information: Course Handout
Prerequisites: ECE 210 or consent of instructor
Credits: 4 hours
Integrity and
honor code:
กค
All students are expected to do
their own work and turn in their own work for credit. Students may collaborate on homework
assignments, but each student must turn in his or her own work that has been
worked out independently of any other student.
กค
Seeking solutions from prior
year handouts or copying of other student's work will not be permitted.
กค
Each student shall accurately
and honestly assign grades to their own self-graded problems on their homework.
กค
By enrolling in this course and
submitting homework or exams for grading, each student implicitly accepts this
honor code.
|
Weekly Schedule |
|||||
|
# |
Week |
Reading |
Topics |
Quiz |
HW Due |
|
1 |
8/24-8/28 |
Ch 1 |
DSP
overview; Continuous-time (CT) and discrete-time (DT) signals; Complex
numbers |
|
|
|
2 |
8/31-9/4 |
Ch 2 |
Fourier
transform (FT); Discrete-time Fourier transform (DTFT); Discrete Fourier
transform (DFT) |
|
1 |
|
3 |
9/7-9/11 |
Ch 3 |
DFT
spectral analysis; Applications of DT signal analysis |
Q1 |
2 |
|
4 |
9/14-9/18 |
Ch 4 |
Sampling;
Ideal A/D (analog-to-digital) converter |
|
3 |
|
5 |
9/21-9/25 |
Ch 5 |
Linear
and shift invariant systems; Convolution; Impulse response |
Q2 |
4 |
|
6 |
9/28-10/2 |
Ch 6 |
z-transform;
Poles and zeros; Inverse z-transform |
|
5 |
|
7 |
10/5-10/9 |
Ch 7 |
Convolution
via z-transform; Difference equations; System analysis; BIBO stability |
Q3 |
6 |
|
8 |
10/12-10/16 |
Ch 8 |
Frequency
response; DT processing of CT signals; Analog frequency response of a digital
processor; |
|
7 |
|
9 |
10/19-10/23 |
Ch 9 Ch 10 |
A/D
and D/A converters; Digital
filter structures; FIR and IIR filters; Generalized linear phase |
Q4 |
8 |
|
10 |
10/26-10/30 |
Ch 11 |
FIR
filter design: truncation, windows, min-max, and frequency sampling |
|
9 |
|
11 |
11/2-11/6 |
Ch 12 |
IIR
filter design; IIR design via bilinear transformation; Applications
of digital filtering |
Q5 |
10 |
|
12 |
11/9-11/12 |
Ch 13 |
Downsampling
and upsampling; Digital
interpolation; |
|
11 |
|
11/13 |
No
class on Friday the 13th |
||||
|
13 |
11/16-11/19 |
Ch 13 Ch 14 |
Oversampling
A/D and D/A; Fast
Fourier transform (FFT); |
Q6 |
12 |
|
11/20 |
No
class on Friday the 20th |
||||
|
14 |
11/21-11/29 |
War
and Peace |
Thanksgiving
Break |
|
|
|
15 |
11/30-12/4 |
Ch 14 |
Fast
Fourier transform (FFT); Fast
convolution |
|
13 |
|
16 |
12/7-12/9 |
Ch 15 |
Review;
Applications |
FINAL |
|