UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN

Department of Electrical and Computer Engineering

ECE 310: Digital Signal Processing (Fall 2020)

http://courses.ece.illinois.edu/ece310

Integrity:

This course will operate under the following honor code: All exams and quizzes are to be worked out independently without any aid from any person or device. Copying of other students' work is considered cheating and will not be permitted. By enrolling in this course and submitting quizzes and exams for grading, each student implicitly accepts this honor code.


Online Lectures

Online lectures links

Note: Videos of lectures may be posted only later at night on the day of lecture, or on the following day, because the University MediaSpace takes a while to upload the video

Online Office Hours

Online office hours links

Recorded Lectures

Recorded lectures links

Recorded Examples (New)


 
I. Resources

1. Recommended Textbook:

2. Piazza:

3. Associated Lab Course (STRONGLY RECOMMENDED):

4. Additional Resources

The following additional resources cover much of the same material as the lectures and textbook. The syllabus below provides references to these resources as well as the Manolakis and Ingle textbook.

Exam Solutions


II. Schedule

1. Lecture Times:

Lecture Time Day
Section CCS 12:00 - 12:50 Mon./ Wed./ Fri.
Section E 15:00 - 15:50 Mon./ Wed./ Fri.
Section G Students have been assigned to one of the other two sections One time additional lecture at 8pm, Aug 24
 

2. Office Hours:

Prof. Yoram Bresler Tue 8-9pm
Prof. Dimitrios Katselis Mon 4:30-6pm
Yifeng Fan Thu 9-11 am
Berk Iskender Tue 8:30-10:30 am
Hanfei Wang Mon 8-10 am
Ufuk Soylu Wed 8:30-10:30 am

III. Teaching Staff

1. Instructors:

Prof. Yoram Bresler Prof. Dimitrios Katselis
Office: 112 CSL Office: 3042 ECEB
Email: ybresler@illinois.edu Email: katselis@illinois.edu

2. Teaching Assistants:

Yifeng Fan Berk Iskender
Email: yifengf2@illinois.edu Email: berki2@illinois.edu
 
Ufuk Soylu Hanfei Wang
Email: usoylu2@illinois.edu Email: hwang267@illinois.edu

IV. Syllabus

Time Topics Reading Assignment Lecture Notes Additional Resources Assessment Due
Week 1:
8/24 - 8/28
Course introduction
Continuous-time (CT) and discrete-time (DT) signals
Review of complex numbers
Discrete-time systems
Linear and time-invariant (LTI) systems
Chapter 1: 1.1 - 1.4
Chapter 2: 2.1 - 2.3

Lecture 1 Notes

Lecture 2 Notes

Lecture 3 Notes

SM: Ch 1, Appendix D, Appendix A, 3.1, 3.3-3.6
OS: 1, 2.1-2.2
PM: 1.1-1.2, 2.1-2.2
FK: 1, 5, 2, 9
Python Demo

What is DSP? - Video by IEEE
DSP Overview Slides
DSP at UIUC - 1
DSP at UIUC - 2

 
Week 2:
8/31 - 9/4

Impulse response
Convolution
Difference equations
Chapter 2: 2.4 - 2.7; 2.10

Lecture 4 Notes

Lecture 5 Notes

Lecture 6 Notes

SM: 3.7-3.9
OS: 2.3-2.5
PM: 2.3-2.5
FK: 9, 10, 3
Convolution Python Demo
Difference Equations Python Demo
HW1
 
Week 3:
9/9 - 9/11

No class 9/7 (Labor Day)

z-transform
Poles and zeros
Inverse z-transform

Chapter 3: 3.1 - 3.4

Lecture 7 Notes

Lecture 8 Notes

SM: 4.1-4.5
OS: Ch 3
PM: 3.1-3.5
FK: 6, 7, 8 13
Partial Fractions Python Demo

Some z-transform properties
Some z-transform pairs

HW2
 
Week 4:
9/14 - 9/18
System analysis via z-transform
System transfer function
Stability
Chapter 3: 3.5 - 3.7

Lecture 9 Notes

Lecture 10 Notes

Lecture 11 Notes

SM: 4.10-4.14
OS: 5.2
PM: 3.6
FK: 14, 15, 16
Stability Python Demo
HW3
 
Week 5:
9/21 - 9/25
Applications of linear system models
Sinusoidal signals
Fourier transforms
Discrete-time Fourier transform (DTFT)
Chapter 4: 4.1 - 4.3

Lecture 12 Notes

Lecture 13 Notes

Lecture 14 Notes

SM: 2.1-2.4
OS: 2.6-2.7

PM: 1.3, 4.1
FK: 17
DTFT Python Demo

HW4
 
Week 6:
9/28 - 10/2

Properties of the DTFT
Fourier analysis of LTI systems
Midterm Exam 1

Chapter 4: 4.3 - 4.5
Chapter 5: 5.1 - 5.2
SM: 2.4, 5.1
OS: 2.8-2.9, 5.1
PM: 4.2-4.4
FK: 18, 19
Filtering Python Demo
HW5
 
Week 7:
10/5 - 10/9
Frequency response (magnitude and phase responses)
Ideal filters
Sampling of continuous-time signals
Chapter 5: 5.3 - 5.6
Chapter 6: 6.1
SM: 5.2, 3.2
OS: 5.3-5.4, 4.1-4.2
PM: 4.4-4.5, 1.4
FK: 20, 21
HW6
 
Week 8:
10/12 - 10/16
Ideal C/D and D/C conversion
Aliasing effect
Discrete Fourier transform (DFT)
Chapter 6: 6.2 - 6.3
Chapter 7: 7.1 - 7.2
SM: 3.2, 2.5
OS: 4.2-4.3
PM: 1.4, 4.2.9, 5.1
FK: 22, 34
HW7
 
Week 9:
10/19 - 10/23
Discrete Fourier transform (DFT)
DFT spectral analysis
Applications of Fourier analysis
Chapter 7: 7.2 - 7.4; 7.6 SM: 2.5-2.6
OS: 8.1-8.6, 10.1-10.2
PM: 5.2, 5.4
FK: 34, 36
DFT Python Demo
HW8
 
Week 10:
10/26 - 10/30
Fast convolution using the DFT
Fast Fourier transform (FFT)
Digital filter structures
Chapter 7: 7.5
Chapter 8: 8.1; 8.3
SM: Ch 14, 6.3
OS: 8.7, 9.3, 6.1-6.2
PM: 5.3, 6.1-6.2, 7.1
FK: 37, 38
HW9
 
Week 11:
11/2 - 11/6

FIR and IIR filters
Block diagrams
Midterm Exam 2

Chapter 9: 9.1 - 9.3 SM: 6.3
OS: 6.3-6.5
PM: 7.1-7.2, 8.1
FK: 27, 33
HW10
 
Week 12:
11/9 - 11/13
Generalized linear phase
FIR filter design
IIR filter design
Chapter 10: 10.1 - 10.4; 10.6 Chapter 11: 11.1; 11.3 SM: 6.4, Ch 11, Ch 12
OS: 5.7, Ch 7
PM: Ch 8
FK: 28, 29, 30
Filter Design Demo
HW11
 
Week 13:
11/16 - 11/20
Continuous-time frequency response of a DSP system
Downsampling and upsampling
Multirate signal processing
Chapter 6: 6.4
Chapter 12: 12.1 - 12.2
Chapter 15: 15.3.1
SM: 5.3, Ch 13
OS: 4.4, 4.6
PM: 9.1, 10.1-10.4
FK: 24, 26
Multirate Python Demo
Audio for Multirate Python Demo
Image for Multirate Python Demo
HW12
 
Fall break:
11/21 - 11/29
         
Week 14:
11/30 - 12/4
Practical A/D and D/A conversion
Oversampling A/D and D/A converters
Applications of DSP
Chapter 6: 6.5
Chapter 15: 15.3
SM: Ch 13
OS: 4.8-4.9
PM: 9.2-9.3
FK: 23, 25
 
HW13
 
Week 15: 12/7 - 12/9 Applications of DSP
Advanced topics
     
Final Exams: 12/11- 12/19 Final Exam Tentative date: TBD        

V. Grading

  1. Homework (weekly): 15%
    • Homework and exams will be graded using gradescope. You can create gradescope account using your university email ID.
    • Assigned on Fridays. Due on Fridays (5pm) on the following week. Solutions posted 7 pm on the due date.
    • Some homeworks will have two components:
      • a "traditional" component, for which scanned solutions will be uploaded by students to gradescope and will be hand graded. Grading of this component will be for (A) completion (50% of the score); and (B) three randomly picked problems will be graded. This traditional component will carry P percent of the score for the HW. P may change from one HW assignment to the next, and will be posted on the course webpage.
      • a PrairieLearn component, which will be solved by students and automatically graded on the PrairieLearn platform. This PrairieLearn component will carry (100-P) percent of the score for the HW. NOTE: Grading scheme may be subject to change in the course of the semester.
    • Please add ECE310 using the code 9YYXJ8. Please refer to the following link.
    • You will be submitting homework using gradescope as a PDF file. Please refer to the following link and video.
    • Write neatly. Please box the equations you will be solving and the final answer. If we cannot read it we cannot grade it!
    • Late homework submissions will not be accepted.
    • Regrade requests must be submitted on gradescope within one week of grades being posted. All regrade requests must have a brief justification.
    • The lowest two HW scores (combined writtend and PrairieLearn score) will be dropped. This eliminates the need (and possibility) for any excuse to turn in late, miss, or make up a HW assignment.
  2. Midterm Exam 1: 22%
    • Date: October 1, 2020, 19:00-21:00
      • Covers material from weeks 1-4
      • Will be administered using PrairieLearn
      • Allow 1 sheet (two-sided) of handwritten notes on 8.5x11 paper
      • Sign up in advance to take the exam with CBTF Introduction to CBTF
    • Conflict midterm:
      • Date:  October 2, 2020 morning or evening. If you have a valid conflict, please make a request through CBTF by 11:59pm CT on Sunday, September 27thhttps://cbtf.engr.illinois.edu/index.html. For a time zone conflict, please provide details of your location and time zone.
      • Conflicts with a bigger course (such as ECE220) should be handled by taking the conflict exam of the bigger course.
  3. Midterm Exam 2: 22%
    • Date: November 5, 2020, 19:00-21:00
      • Focuses on material from weeks 5-9, but assumes knowledge of material from weeks 1-9.
      • Allow 2 sheets (two-sided) of handwritten notes on 8.5x11 paper
      • Sign up to take the exam with CBTF Introduction to CBTF
      • Conflict midterm:Date: TBD - - likely November 6, 2020, morning or evening. Schedule with CBTF
  4. Final Exam: 41%
    • Date: TBD
      • Covers material from the whole semester with an emphasis on weeks 10-14
      • Allow 4 sheets (two-sided) of handwritten notes in 8.5x11 papers
    • Conflict final: TBD

VI. Homework, Quiz, and Recitation

1. Homework:

Homework Material Solution
Homework 1 HW1.pdf HW1sol.pdf
Homework 2 HW2.pdf HW2sol.pdf
Homework 3 HW3.pdf  +Stay tuned for additional PrairieLearn problems that will be posted HW3sol.pdf
Homework 4 HW4.pdf HW4sol.pdf
 

 

Past Homeworks:

Term Without Solutions With Solutions
S2018 HW1.pdf
HW2.pdf
HW3.pdf
HW4.pdf
HW1_sol.pdf
HW2_sol.pdf
HW3_sol.pdf
HW4_sol.pdf
F2018 HW1.pdf
HW2.pdf
HW3.pdf
HW4.pdf
HW1_sol.pdf
HW2_sol.pdf
HW3_sol.pdf
HW4_sol.pdf
S2019 HW1.pdf
HW2.pdf
HW3.pdf
HW4.pdf
HW1_sol.pdf
HW2_sol.pdf
HW3_sol.pdf
HW4_sol.pdf
F2019 HW1.pdf
HW2.pdf
HW3.pdf
HW4.pdf
HW1_sol.pdf
HW2_sol.pdf
HW3_sol.pdf
HW4_sol.pdf

Past Exams

Term Without Solutions
Exam 1

Fall 2019

Fall 2018

Spring 2018