ECE
516: Adaptive Digital Filters
Prof. Mojtaba Soltanalian (msol@uic.edu)
Textbook and
optional references
* Adaptive Filters, by Ali H. Sayed, John Wiley & Sons, NJ,
2008,
available in hard copy at the UIC Bookstore.
Other useful references:
- Simon Haykin, Adaptive Filter Theory, Fifth edition, Prentice Hall, 2013.
- Torsten Soderstrom,
and Petre Stoica. System
identification. Prentice-Hall, 1988.
Available online: http://user.it.uu.se/~ps/sysidbook.pdf
Lectures
The slides can be found here.
|
Date |
To be covered |
Further info. |
|
8/24 |
Introduction to ECE 516 |
|
|
8/26 |
Basics- A Refresher |
|
|
8/31 |
Mean-Square Error Estimation |
|
|
9/2 |
Mean-Square Error Estimation |
|
|
9/7 |
No Classes |
|
|
9/9 |
Linear Estimation |
|
|
9/14 |
Linear Models and Applications |
|
|
9/16 |
Linear Models and Applications |
|
|
9/21 |
Constrained Estimation and Applications |
|
|
9/23 |
Kalman Filtering |
|
|
9/28 |
Review Class |
|
|
9/30 |
Midterm 1 |
|
|
10/5 |
Steepest-Descent Algorithms |
|
|
10/7 |
Stochastic-Gradient Algorithms |
|
|
10/12 |
No Classes |
|
|
10/14 |
Other Local Algorithms |
|
|
10/19 |
Least-Squares Methods |
|
|
10/21 |
Recursive Least-Squares |
|
|
10/26 |
LS and RLS (continued) |
|
|
10/28 |
Review Class |
|
|
11/2 |
Midterm 2 |
Deadline to select project topic |
|
11/4 |
Guaranteed Adaptation |
|
|
11/9 |
Tracking Performance of Adaptive Filters |
|
|
11/11 |
No Classes |
|
|
11/16 |
Tracking Performance of Adaptive Filters |
|
|
11/18 |
Selected Topics (Big Data & Machine Learning) |
|
|
11/23 |
Project Presentations |
|
|
11/25 |
Project Presentations |
|
|
11/30 |
Project Presentations |
|
|
12/2 |
Project Presentations |
|
Final Exam Week 12/7- 12/11 |
Course requirements
and grading
Paper Presentations & Discussions 10%
Computer Project 15%
Homework 15%
Midterm Exams 15% each
Final Exam 30%
* Papers and requested presentation dates must be submitted to the
instructor by e-mail for prior approval.
* An extra paper presentation for 10% bonus point may be
accommodated. Prior consent from the instructor is required.
* These weights are approximate and may be subject to change.
* Late homework will not be accepted.
Homework (updated 10-19-2020)
HW1: out 9/18 due 9/25 -- Adaptive Filters (textbook), problems I.10, I.11, I.12
HW2: out 9/18 due 9/30 -- Adaptive Filters (textbook), problems II.1, II.5, II.24, II.37
HW3: out 10/19 due 11/2 -- Adaptive Filters (textbook), problems III.1, III.3, VII.6(a), VII.35
HW4: NON-MANDATORY -- Adaptive Filters (textbook), problems IV.2(a)(b)(f), IV.14, IV.15
Paper presentations
The presentations should be around 20-25 mins.
Some suggested papers can be found here.
Note
Students who wish to observe religious holidays should notify the instructor by the tenth day of the semester of the date when they will be absent unless the religious holiday is observed on or before the tenth day of the semester. In such cases, the students should notify the instructor at least five days in advance of the date when he/she will be absent. Every reasonable effort will be made to honor the request.
Academic dishonesty by students including plagiarism will result
in appropriate disciplinary action. Intentional use or attempt to use
unauthorized assistance, materials, information, or people in any examination,
quiz, or assignment may lead to penalties such as a failing grade. College of
Engineering and University guidelines will be followed.