- University
- Academic
- Schools/Vocational Schools
- Vocational School of Justice
- Vocational School
- Department of Banking and Insurance (Turkish)
- Department of Computer Programming (Turkish)
- Department of Foreign Trade (Turkish)
- Department of Real Estate Management (Turkish)
- Department of Graphic Design (Turkish)
- Department of Interior Design (Turkish)
- Department of Construction Technology (Turkish)
- Department of Occupational Health and Safety (Turkish)
- Department of Architectural Restoration (Turkish)
- Department of Furniture and Decoration (Turkish)
- Department of Accounting and Tax Applications (Turkish)
- Department of Marketing (Turkish)
- Department of Radio and Tv Programming (Turkish)
- Department of Civil Aviation Cabin Services (Turkish)
- Department of Civil Aviation Transportation Management (Turkish)
- Department of Tourism and Hotel Management (Turkish)
- Department of Applied English Translation
- Vocational School Of Health Services
- Department of Child Development (Turkish)
- Department of Physiotherapy (Turkish)
- Department of Paramedic (Turkish)
- Department of Opticianry (Turkish)
- Department of Medical Documentation and Secreteriat (Turkish)
- Department of Medical Imaging Techniques (Turkish)
- Department of Medical Laboratory Techniques (Turkish)
- Department of Elderly Care (Turkish)
- School of Applied Management Sciences
- School of Foreign Languages
- Faculties
- Faculty of Arts and Sciences
- Faculty of Fine Arts and Design
- Faculty of Law
- Faculty of Communication
- Faculty of Business
- Faculty of Engineering
- Department of Computer Engineering
- Department of Biomedical Engineering
- Department of Electrical and Electronics Engineering
- Department of Industrial Engineering
- Department of Food Engineering
- Department of Genetics and Bioengineering
- Department of Aerospace Engineering
- Department of Civil Engineering
- Department of Mechanical Engineering
- Department of Mechatronics Engineering
- Department of Software Engineering
- Faculty of Health Sciences
- Medicine
- Graduate School
- Graduate Programs in Economics
- Graduate Programs in Law
- Graduate Programs in Communication
- Graduate Programs in Business Administration
- Graduate Programs in Logistics Management
- Programs in the Field of Mathematics
- Graduate Programs in Architecture
- Graduate Programs in Engineering
- M.SC. in Computer Engineering (With Thesis)
- M.SC. in Computer Engineering (Without Thesis)
- Ph.D. In Computer Engineering
- M.SC. in Bioengineering (With Thesis)
- M.SC. in Electrical and Electronics Engineering (With Thesis)
- M.SC. in Electrical and Electronics Engineering (Without Thesis)
- Ph.D. In Electrical-Electronics Engineering
- M.SC. In Industrial Engineering (With Thesis)
- Mechanical Engineering Master's Program with Thesis (English)
- Graduate Programs in Psychology
- Health Field
- Graduate Programs in Political Science and International Relations
- Master's Programs in Sustainable Energy
- Programs in Design Studies
- Graduate Programs in Foreign Languages
- Research Centers
- Common Courses
- Schools/Vocational Schools
- Research
- Campus
- INTERNATIONAL
- Contact
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
|
|||||
| Course Language |
English
|
|||||
| Course Type |
Elective
|
|||||
| Course Level |
Second Cycle
|
|||||
| Mode of Delivery | - | |||||
| Teaching Methods and Techniques of the Course | - | |||||
| National Occupation Classification | - | |||||
| 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 | Learning Outcome |
| 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
|
#
|
PC Sub | 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. |
-
|
-
|
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. |
-
|
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 modelling, analyses and resolves the complex problems that arise in this process. |
-
|
-
|
-
|
-
|
-
|
|
| 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. |
-
|
-
|
-
|
-
|
-
|
|
| 9 |
Engages in written and oral communication at least in Level B2 of the European Language Portfolio Global Scale. |
-
|
-
|
-
|
-
|
-
|
|
| 10 |
Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form. |
-
|
-
|
-
|
-
|
-
|
|
| 11 |
Is knowledgeable about the social, environmental, health, security and law implications of Electrical and Electronics engineering applications, knows their project management and business applications, and is aware of their limitations in Electrical and Electronics engineering applications. |
-
|
-
|
-
|
-
|
-
|
|
| 12 |
Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity. |
-
|
-
|
-
|
-
|
-
|
|
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
NEW GÜZELBAHÇE CAMPUS
DetailsGLOBAL CAREER
As Izmir University of Economics transforms into a world-class university, it also raises successful young people with global competence.
More..CONTRIBUTION TO SCIENCE
Izmir University of Economics produces qualified knowledge and competent technologies.
More..VALUING PEOPLE
Izmir University of Economics sees producing social benefit as its reason for existence.
More..