GRADUATE SCHOOL
Ph.D. In Electrical-Electronics Engineering
EEE 506 | Course Introduction and Application Information
| Course Name |
Adaptive Signal Processing
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
EEE 506
|
Fall/Spring
|
3
|
0
|
3
|
7.5
|
| Prerequisites |
None
|
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| Course Language |
English
|
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| Course Type |
Elective
|
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| Course Level |
Second Cycle
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| Mode of Delivery | - | |||||
| Teaching Methods and Techniques of the Course | - | |||||
| Course Coordinator | ||||||
| Course Lecturer(s) | ||||||
| Assistant(s) | - | |||||
| Course Objectives | This course covers the fundamental theories and algorithms of adaptive systems and their applications to engineering problems. Course content includes the topics such as optimal mean-square estimation, Wiener filters. Introduction to adaptive structures and the least squares method. State space models. Kalman filters. Search techniques: Gradient and Newton methods. LMS (least mean squares), RLS (recursive least squares). Analysis of adaptive algorithms: Learning curve, convergence, stability, excess mean square error, mis-adjustment. |
| Learning Outcomes |
The students who succeeded in this course;
|
| Course Description | Optimal mean-square estimation, Wiener filters. Introduction to adaptive structures and the least squares method. State space models. Kalman filters. Search techniques: Gradient and Newton methods. LMS (least mean squares), RLS (recursive least squares). |
|
|
Core Courses | |
| Major Area Courses |
X
|
|
| Supportive Courses | ||
| Media and Management Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Related Preparation |
| 1 | Review of Digital Signal Processing | S. Haykin, Adaptive Filter Theory, Prentice Hall, 3rd ed., 1996 (Ch. 1) |
| 2 | Introduction to Stationary Processes | S. Haykin, Adaptive Filter Theory, Prentice Hall, 3rd ed., 1996 (Ch. 1) |
| 3 | Modeling of Random Processes | S. Haykin, Adaptive Filter Theory, Prentice Hall, 3rd ed., 1996 (Ch. 5) |
| 4 | AR, MA, and ARMA Models | S. Haykin, Adaptive Filter Theory, Prentice Hall, 3rd ed., 1996 (Ch. 5) |
| 5 | Linear Prediction | S. Haykin, Adaptive Filter Theory, Prentice Hall, 3rd ed., 1996 (Ch. 6) |
| 6 | Linear Optimum Filtering | S. Haykin, Adaptive Filter Theory, Prentice Hall, 3rd ed., 1996 (Ch. 7) |
| 7 | Wiener Filter | S. Haykin, Adaptive Filter Theory, Prentice Hall, 3rd ed., 1996 (Ch. 8) |
| 8 | Midterm | |
| 9 | Linear Adaptive Filtering | S. Haykin, Adaptive Filter Theory, Prentice Hall, 3rd ed., 1996 (Ch. 9) |
| 10 | Steepest Descent and LMS Algorithms | S. Haykin, Adaptive Filter Theory, Prentice Hall, 3rd ed., 1996 (Ch. 9,10) |
| 11 | RLS Adaptive Filters | S. Haykin, Adaptive Filter Theory, Prentice Hall, 3rd ed., 1996 (Ch. 11) |
| 12 | Adaptive Noise Canceling Applications | S. Haykin, Adaptive Filter Theory, Prentice Hall, 3rd ed., 1996 (Ch. 19,20) |
| 13 | Kalman Filter Theory | |
| 14 | Nonlinear Adaptive Filtering | |
| 15 | Review of the Course and Examples | |
| 16 | Review of the Semester |
| Course Notes/Textbooks | The textbook referenced above and course slides |
| Suggested Readings/Materials | Related Research Papers |
EVALUATION SYSTEM
| Semester Activities | Number | Weigthing |
| Participation | ||
| Laboratory / Application | ||
| Field Work | ||
| Quizzes / Studio Critiques | ||
| Portfolio | ||
| Homework / Assignments |
1
|
30
|
| Presentation / Jury | ||
| Project |
1
|
30
|
| Seminar / Workshop | ||
| Oral Exams | ||
| Midterm |
1
|
40
|
| Final Exam | ||
| Total |
| Weighting of Semester Activities on the Final Grade |
2
|
70
|
| Weighting of End-of-Semester Activities on the Final Grade |
1
|
30
|
| Total |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Theoretical Course Hours (Including exam week: 16 x total hours) |
16
|
3
|
48
|
| Laboratory / Application Hours (Including exam week: '.16.' x total hours) |
16
|
0
|
|
| Study Hours Out of Class |
14
|
5
|
70
|
| Field Work |
0
|
||
| Quizzes / Studio Critiques |
0
|
||
| Portfolio |
0
|
||
| Homework / Assignments |
8
|
4
|
32
|
| Presentation / Jury |
0
|
||
| Project |
1
|
20
|
20
|
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| Midterms |
1
|
20
|
20
|
| Final Exam |
0
|
||
| Total |
190
|
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
|
#
|
Program Competencies/Outcomes |
* Contribution Level
|
||||
|
1
|
2
|
3
|
4
|
5
|
||
| 1 | Accesses information in breadth and depth by conducting scientific research in Electrical and Electronics Engineering; evaluates, interprets and applies information. | X | ||||
| 2 | Is well-informed about contemporary techniques and methods used in Electrical and Electronics Engineering and their limitations. | X | ||||
| 3 | Uses scientific methods to complete and apply information from uncertain, limited or incomplete data; can combine and use information from different disciplines. Knows and applies the research methods in studies of the area with a high level of skill. |
X | ||||
| 4 | Is informed about new and upcoming applications in the field and learns them whenever necessary. | X | ||||
| 5 | Defines and formulates problems related to Electrical and Electronics Engineering, develops methods to solve them and uses progressive methods in solutions. Can independently realize novel studies that bring innovation to the field, or methods, or design, or known methods. |
X | ||||
| 6 | Develops novel and/or original methods, designs complex systems or processes and develops progressive/alternative solutions in designs. | X | ||||
| 7 | Designs and implements studies based on theory, experiments and modeling; analyses and resolves the complex problems that arise in this process. Performs critical analysis, synthesis and evaluation of new and complex ideas. | X | ||||
| 8 | Can work effectively in interdisciplinary teams as well as teams of the same discipline, can lead such teams and can develop approaches for resolving complex situations; can work independently and takes responsibility. | X | ||||
| 9 | Engages in written and oral communication at least in Level C1 of the European Language Portfolio Global Scale. | X | ||||
| 10 | Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form. |
X | ||||
| 11 | Evaluates the results of scientific, technological and engineering research and development activities in terms of the social, environmental, health, safety and legal aspects. Examines social relations and norms related to the field, and develops and makes attempts to change them if necessary. Knows their project management and business applications, and is aware of their limitations in Electrical and Electronics Engineering applications. |
X | ||||
| 12 | Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity. Adheres to the principles of research and publication ethics. |
X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest