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.