ECE464/564:
Digital Signal Processing
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Course Information | Grading TA | Announcements
| Course Description | Prerequisites
| Textbook
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Topics | Homework | Grading
| Exams |
Course Information
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Instructor: |
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Office: |
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Email: |
 |
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Classroom: |
LINC 268 |
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Time: |
TR 2:00PM -3:50PM |
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Office hours: |
TF 4:00PM
-5:00PM
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Grading TA
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Grading TA: |
Trung Vu (vutru at oregonstate dot
edu) |
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TA Office: |
KEC Atrium |
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TA Office hours: |
Trung Vu: W 3:00PM-5:00PM |
Announcements
- New:
Classroom has changed to LINC 268
- First day of class is Tue. 1/7/2020
Course Description
This course covers the techniques of modern digital signal
processing that are fundamental to a wide variety of
applications. Emphasis is placed on the architectures and
design techniques for digital filters.
Policy
- Academic dishonesty: evidence of academic
dishonesty in ECE464/564 may result in a grade of "F" on the
examination/assignment that involved cheating and/or an "F" in
the course (for more details see
http://ecampus.oregonstate.edu/services/proctoring/academichonesty.htm).
- Assignment deadlines: late assignments (e.g.,
HW, lab reports) will not be graded. You are responsible to
make sure that we receive your assignment on time.
- Communications: use a professional and
respectful language for in-classroom communications and
emails. I reserve the right to ignore emails that begin with
'Hey'.
- Grading: if you have any issues with grading of an assignment or exam, contact me within a week from when the assignment was returned.
- Registration: please work out any registration
issue with the EECS academic advisors first. If you are
transferring credit for a prerequisite do so with your EECS
undergraduate academic advisor. I will not provide
waivers for students who do not have the prerequisites for the
class. This class is challenging even for those who have the
prerequisites for the class. I will not allow students with
schedule conflict to take the class. This class is challenging
even for those who attend it regularly.
- Office hours: between the TAs and I, we plan to hold 4 different office hours per week and an additional weekly HW review session. If you need help, we will gladly provided it during these allocated time slots. I do not provide `private lessons'. I regard requests to hold personal office hours as disrespectful. If your success in this class is important and you feel that you need help, make an effort to show in one of the several office hours offered - it is the least you can do. In turn, we will do our best to help.
- Classroom attendance and behavior: you are
strongly encourage to attend classes regularly. I hold random
quizzes on a weekly basis. Missing a class could mean missing
the quiz and the associated credit. No remake quizzes will be
offered. While in class, I ask for no laptop or cell-phone use
(e.g., texting, surfing, talking).
Prerequisites
Junior standing in ECE, ECE 351, and ECE 352.
Textbook
Alan V. Oppenheim and Ronald W. Schafer, Discrete-Time Signal Processing, 3rd ed., Pearson, 2010.
Topics
- Sampling theorem; reconstruction of
continuous-time signals from discrete-time signals;
interpolation and decimation (chap. 4)
- Transform analysis of linear
time-invariant systems such as frequency response of LTI
systems, effects of group delay, all-pass systems. (chap. 5)
- Design and implementation of digital filters (FIR, IIR) (chap. 7)
- Discrete Fourier transform and the FFT algorithm (chap. 8-10)
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Matlab tutorials by Mathworks - Some tutorials and
demos are available from Mathworks page
- Matlab for DSP
- Demonstrations of signals and systems
- Animated examples of convolution
Homework & Solutions
Notice
Efforts on homework
should be individual based on the material in class and in
the book. Students that will
get caught copying their solution from the solution
manual, past solutions, or other students, will face
disciplinary actions.
Please refresh your web browser to get the latest version of the homeworks/solutions.
For each HW assignment 1 problem is going to be chosen at random for grading.
Homework 1: (due Tue. Jan 21, 2020) Homework 1 Solution
Homework 2: (due Tue. Jan 28, 2020)
Homework 2 Solution
Homework 3
Homework 4
Homework 4 Solution
Homework 5: (due Tue. Feb. 18, 2020)
Homework 5
Homework 5 Solution
Homework 6: (due Tue. Feb. 25, 2020) (* The change
to Tue. was mentioned in class but we understand
that the webpage/homework assignment were not
properly updated to reflect this, hence we will
accept HW until Thu.)
Homework 6
Homework 6 Solution
Homework 7: (due Tue. Mar. 3, 2020)
HW7_bonus.mat,
Homework 7 Solution
Grading Policy
The final grade for this class will be determined based on
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Midterms I: |
25% |
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Midterms II: |
25% |
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Final exam: |
40% |
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Homework: |
10% |
The final grade will be based on the total number of points accumulated at the end of the term
Exams
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Midterm I: |
Feb. 6, 2020 (Thu. week 5) 3-3:50pm |
| Midterm II: | Feb. 27, 2020 (Thu. week 8) 3-3:50pm |
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Final exam: |
Mar. 18, 2020 (Wed., finals week)
2:00pm-3:50pm (*please check later for any changes) |