Course Description

Introduction to discrete-time systems and discrete-time signal processing with an emphasis on causal systems; discrete-time linear systems, difference equations, z-transforms, discrete convolution, stability, discrete-time Fourier transforms, analog-to-digital and digital-to-analog conversion, digital filter design, discrete Fourier transforms, fast Fourier transforms, spectral analysis, and applications of digital signal processing.

Lectures: MTWTF, 9:00am - 9:50am, Zoom

Lecture Recording: Media Space

Prerequisites: ECE 210

Recommended Textbooks:
  • Applied Digital Signal Processing: Theory and Practice (1st ed.) by Dimitris G. Manolakis and Vinay K. Ingle, Cambridge Univ. Press publisher ISBN: 978-052111020. Also available in digital format.
  • (Optional) OS: Discrete-Time Signal Processing by Alan V. Oppenheim and Ronald W. Schafer (on reserve at the library)

Teaching Staffs


Instructor: Thomas Moon (tmoon@)

Office Hours: Monday, 10-11am, Zoom


TA: Ziyang Xu (ziyangx2@)

Office Hours: Tue/Thursday, 7-8pm, Zoom

Schedule

Date Topic Reading Assignment Lecture Notes HW & Worksheet Lecture Videos
6/13 1. Introduction 1. Intro Lecture 1
6/14 2. Continuous-time (CT) and discrete-time (DT) signals 1.1-1.4 2. CT and DT signals Quiz & HW Template Lecture 2
6/15 3. Review of complex numbers 3. Complex numbers Lecture 3
6/16 4. Discrete-time systems Linear and time-invariant (LTI) systems 2.1-2.3 4. Discrete-time Systems Lecture 4
6/17 5. Impulse response and convolution 2.4 5. h[n] and convolution Lecture 5
6/20 6. Causality and Stability 2.5 6. Causality and Stability by h[n] Lecture 6
6/21 7. Difference Equation 2.10 7. LCCDE HW1 due
HW1 sol 		Lecture 7
6/22 8. Z-transform 1 3.1-3.4 8-10. Z-transform Lecture 8
6/23 9. Z-transorm2 & Quiz1 3.1-3.4 Quiz1 sol Lecture 9
6/24 10. Z-transform 3 3.1-3.4 Lecture 10
6/27 11. Inverse Z-transform 3.1-3.4 11. Inverse Z-transform WS1 due Lecture 11
6/28 12. System Transfer Function 3.5-3.7 12-14. H(z) and its causality/stability HW2 due
HW2 sol 		Lecture 12
6/29 13. Causality and Stability by Z-transform 3.5-3.7 Lecture 13
6/30 14. Causality and Stability by Z-transform &
Quiz2 (covers Lec note 6-10)		 4.1-4.5 Quiz2 sol Lecture 14 (not recorded)
7/1 15. Fourier Transforms 4.1-4.5 15. CTFT Lecture 15
7/4 Independence Day WS2 due
7/5 16. DTFT 1 4.1-4.5 16-19. DTFT & its inverse HW3 due
HW3 sol 		Lecture 16
7/6 17. Inverse DTFT 4.1-4.5 WS3.pdf Lecture 17
7/7 18. DTFT 2 & Quiz3 (Lec note 11-14) 4.1-4.5 Quiz3 sol Lecture 18
7/8 19. DTFT 3 4.1-4.5 Lecture 19
7/11 20. Sinusoidal Response of LTI 1 5.1-5.6 20-21. Sinusoidal response Lecture 20
7/12 21. Sinusoidal Response of LTI 2 5.1-5.6 HW4 due
HW4 sol 		Lecture 21
7/13 22. Sampling 6.1-6.3 22-23. Sampling WS4.pdf Lecture 22
7/14 23. Sampling 2& Quiz4 (Lec note 15-19) 6.1-6.3 Quiz4 sol Lecture 23
7/15 24. Nyquist Condition 6.1-6.3 24. Nyquist WS3 due Lecture 24
7/18 25. Reconstruction 1 6.1-6.3 25-26. Reconstruction Lecture 25
7/19 26. Reconstruction 2 6.1-6.3 HW5 due
HW5 sol 		Lecture 26
7/20 27. DFT 1 7.1-7.6 27-29. DFT Lecture 27
7/21 28. DFT 2 & Quiz5 (Lec note 20-24) 7.5 Quiz5 sol Lecture 28
7/22 29. DFT 3 WS4 due Lecture 29
7/25 30. Circular convolution and DFT 30. Circular convolution Lecture 30
7/26 31. DFT Spectral Analysis 31. DFT Spectral Analysis HW6 due
HW6 sol 		Lecture 31
7/27 32. Digital Processing of Analog Signals 32. Digital Processing of Analog Signals Transform tables Lecture 32
7/28 Quiz6 (Lec note 25-29) Quiz6 sol
7/29 33. FFT 1 33. FFT Lecture 33
8/1 34. FFT 2 Lecture 34
8/2 35. FIR and IIR Filters 1 35-36. FIR/IIR HW7 due
HW7 sol 		Lecture 35
8/3 36. FIR and IIR Filters 2 WS5.pdf Lecture 36
8/4 Review 37. Review WS5 due 8/6 Lecture 37

Extra materials

The final will NOT cover the extra materials.

Grading policy

  • Worksheets: 15%
  • Homeworks: 25%
  • Quizzes: 40%
  • Final: 20%

Worksheet

  • Worksheets will be posted and graded by PrarerieLearn. Find the course, ECE310: Digital Signal Processing Summer 2022.
  • Late worksheet submissions will not be accepted.
  • Some of worksheet problems will be discussed during the lecture.

Homework

  • Homeworks will be graded using Canvas.
  • Late homework submissions will not be accepted.
  • One lowest HW grade will be dropped.
  • You will be submitting homework as a PDF file.
  • Write neatly. Please box the equations you will be solving and the final answer. If we cannot read it we cannot grade it!

Quiz & Exam

IMPORTANT: Quizzes and exams will be proctored online using two-device proctoring. This means you are required to have: 1) A computer for viewing the exam, 2) A mobile device/tablet/second computer with camera for live video feed of your desk/workspace, 3) Sufficient Internet connection to stream your live video feed.
How to position your phone

Quiz

  • There will be 6 quizzes and one lowest quiz grade will be dropped.
  • The quiz will occur in the first half-hour of every Thursday lecture starting from the second week. There are no scheduled make-up quizzes. If you have an unavoidable medical or personal emergency, an exception might be granted. To be eligible for a make-up quiz, you must notify the instructor (not a TA) before the scheduled starting time of the quiz, and you must fully document your absence.
  • Coverage: Each quiz will cover the previous week's materials.
  • The quizzes will be open-book, open-notes.

Final

  • Date: Saturday, August 6, 2022, 1:00-3:00 PM (central time)
  • Coverage: Comprehensive (lecture notes 1-36)
  • The quizzes will be open-book, open-notes.

Past Exams


Academic Integrity

Students are expected to abide by the University of Illinois Student Code. Any academic integrity violations will result in a FAIR report. Furthermore, the penalty will be as follows:
  • A score of 0 (zero) on the assignment or quiz or exam where the academic integrity violation occurred.
  • A second offense results in a grade of F for the course.
  • Note that the standard of proof for a finding of infraction is “more likely than not”. This means I only need to show with 51% certainty that you committed the offense for the allegations to go on your record.

The following is a partial list of academic integrity violations for this course:
  • Copying homework or lab solutions from other students (working together and discussing is acceptable)
  • Copying homework or lab solutions from past solutions
  • Using websites such as Chegg or Course Hero while completing any course assignments or quizzes or exams
  • Using unauthorized materials during quizzes or exams
  • Violating CBTF proctoring policies
  • Communicating with any person during quizzes or exams
  • Discussing the exam with any person within 24 hours of exam completion
  • Not an academic integrity violation: Distributing any course material without authorization. This includes uploading homeworks/solutions and exam solutions to web sites, or sharing these documents with people not enrolled in the course. Although not an academic integrity violation, it is a violation of the law and I will refer you to U.S. Attorney's Office for prosecution under The Digital Millennium Copyright Act.