Course Name |
Selected Topics in Signal Processing
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
EEE 509
|
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 fundamentals of discrete-time signals and systems, design and implementation of signal processing systems, and selected topics from the current state-of-the-art research and developments in signal processing. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Learning Outcomes |
|
|||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Course Description | Techniques used in the time-frequency analysis of nonstationary signals: Empirical Time Decomposition, Ensemble Empirical Time Decomposition, Multivariate Emprirical Time Decomposition, Variational Mode Decomposition, Intrinsic Time-Scale Decomposition, Short-time Fourier Transform, Fourier Based Synchrosqueezing Transform |
|
Core Courses | |
Major Area Courses |
X
|
|
Supportive Courses | ||
Media and Management Skills Courses | ||
Transferable Skill Courses |
Week | Subjects | Related Preparation | Learning Outcome |
1 | Empirical Mode Decomposition | Related research papers | |
2 | Ensemble Empirical Mode Decomposition | Related research papers | |
3 | Multivariate Empirical Mode Decomposition | Related research papers | |
4 | Variational Mode Decomposition | Related research papers | |
5 | Multivariate Variational Mode Decomposition | Related research papers | |
6 | Intrinsic Time-Scale Decomposition | Related research papers | |
7 | Intrinsic Time-Scale Decomposition Applications | Related research papers | |
8 | Short-time Fourier Transform | Related research papers | |
9 | Fourier Based Synchrosqueezing Transform (FSST) | Related research papers | |
10 | Studen presentations | Related research papers | |
11 | Student presentations | Related research papers | |
12 | Student presentations | Related research papers | |
13 | Student presentations | Related research papers | |
14 | Student presentations | Related research papers | |
15 | Student presentations | Related research papers | |
16 | Review of the semester |
Course Notes/Textbooks | 1) Time-Frequency Signal Analysis and Processing, 2nd Edition, Editor: Boualem Boashash, Academic Press, ISBN: 9780123984999, Jan. 2016. 2) Time-Frequency Analysis, Leon Cohen, Prentice Hall, 1995. ISBN 0-13-594532-1 The textbook referenced above and course slides |
Suggested Readings/Materials | Related Research Papers |
Semester Activities | Number | Weighting | LO 1 | LO 2 | LO 3 | LO 4 | LO 5 | LO 6 |
Participation | ||||||||
Laboratory / Application | ||||||||
Field Work | ||||||||
Quizzes / Studio Critiques | ||||||||
Portfolio | ||||||||
Homework / Assignments |
1
|
20
|
||||||
Presentation / Jury |
1
|
20
|
||||||
Project |
1
|
30
|
||||||
Seminar / Workshop | ||||||||
Oral Exams | ||||||||
Midterm | ||||||||
Final Exam |
1
|
30
|
||||||
Total |
Weighting of Semester Activities on the Final Grade |
3
|
70
|
Weighting of End-of-Semester Activities on the Final Grade |
1
|
30
|
Total |
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 |
15
|
4
|
60
|
Field Work |
0
|
||
Quizzes / Studio Critiques |
0
|
||
Portfolio |
0
|
||
Homework / Assignments |
1
|
47
|
47
|
Presentation / Jury |
1
|
20
|
20
|
Project |
1
|
40
|
40
|
Seminar / Workshop |
0
|
||
Oral Exam |
0
|
||
Midterms |
0
|
||
Final Exam |
1
|
0
|
|
Total |
215
|
#
|
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. |
-
|
-
|
-
|
-
|
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 B2 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 |
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. |
X
|
-
|
-
|
-
|
-
|
|
12 |
Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity. |
X
|
-
|
-
|
-
|
-
|
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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