Adaptive Signal Processing
Electronics and Communications Engineering
Institute of Natural and Applied Sciences
Third Cycle (Doctorate Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Adaptive Signal Processing | MEH625 | Elective | Doctorate degree | 1 | Fall | 10 |
Name of Lecturer(s)
Prof. Dr. Sarp ERTÜRK
Prof. Dr. Ali TANGEL
Associate Prof. Dr. Osman BÜYÜK
Associate Prof. Dr. Aysun TAŞYAPI ÇELEBİ
Learning Outcomes of the Course Unit
1) Understand the discerete-time stochastic processes
2) Know the theory of adaptive filters
3) Know the properties of IIR, FIR, Wiener, Kalman filters
4) Know different types of adaptive filter algorithms
5) Implement adaptive filtering applications in software environment
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | ||
| Learning Outcomes | ||||||||
| 1 | Low | Low | Low | Low | Low | Low | Low | |
| 2 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 3 | Low | No relation | No relation | No relation | Low | No relation | No relation | |
| 4 | No relation | Low | No relation | Low | No relation | No relation | No relation | |
| 5 | No relation | No relation | Low | No relation | No relation | No relation | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
In this lectıure, candidates are provided with in-depth knowledge on discrete-time stochastic processes, Wiener filter theory, Linear prediction, LMS algorithm, frequency domain adaptive filters, RLS and QR-RLS algorithms, Kalman filters, filter design principles and algorithms for fast adaptation and real time processing, IIR adaptive filters and adaptive filter applications.
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Contribution of Project to Course Grade |
70% |
|---|---|
Contribution of Final Examination to Course Grade |
30% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required