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Adaptive Filter Theory

Adaptive Filter Theory

Sundays and Tuesdays from 11:00 am to 12:30 am

Information Tech. Center Building, Seminar Room

First Semester 93-94 (Sep. 2014)

Instructor: Dr. Mohammad Reza Ahmadzadeh

Room Location: ECE  Building – B322
Internal Telephone: Ext. 5370
External Telephone: Iran: +98 (0)31 33915370
Fax: Iran: +98 (0)31 33912451
Email:

 

Office Hours:

I will try to be in my office on Saturdays and Mondays  from 8 :00 to 10 :00 am and but I will always do my best to be available for students by appointment or any time that I am free.

Course Description:

This course covers the fundamentals of Adaptive Filter Theory .

Outline:

1- Introduction, Background and Preview

2- Stochastic Processes and Models

3- Wiener Filters

4- Linear Prediction

5- Method of Steepest Descent

6- Least-Mean-Square Adaptive Filters

7- Method of Least Squares

8- Recursive Least-Squares Adaptive Filters

9- Kalman Filters


Textbook:

  1. Adaptive Filter Theory,   Fourth Edition, Simon Haykin, 2002

Optional:

  1. Adaptive Filters: Theory and Applications, B. Farhang-Boroujeny, 1998.
  2. Adaptive filters , Ali H. Sayed, 2008.
  3. Adaptive Signal Processing, B. Widrow and S. D. Stearns, 1985.
     

Lecture Notes:

Slides modified by Instructor, lecture notes, Homeworks and projects can be obtained via E-Learning LMS (Enrolled students, Password protected).

Link: http://ivut.iut.ac.ir/

 

Prerequisites: 

DSP

 

Grading Policy: 

Midterm Exam ≈ 25%

HW, Comp. Assignments and projects: ≈ 30%

Final exam ≈ 45%

 

Time: 

Sundays and Tuesdays from 11:00 am to 12:30 am

Term: 
Fall 2014
Grade: 
Graduate