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Information
| Code | BMM0049 |
| Name | Advanced Applications in Signal Processing |
| Term | 2024-2025 Academic Year |
| Term | Fall |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Doktora Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | |
| Course Instructor |
1 |
Course Goal / Objective
Transferring Adaptive Filters, Chaotic Systems, Non-Linear Systems, Knowledge Based Methods and Applications
Course Content
Autoregressive Model, Yule-Walker Equation Non-Parametric Analysis: Self-Analysis Frequency Estimation Optimal Signal Processing: Wiener Filters Adaptive Signal Processing Filter Banks Wavelet Analysis Principal Component Analysis (PCA) Independent Component Analysis (ICA) Chaotic and Non-Linear Systems Detection of Nonlinearity: Knowledge-Based Methods
Course Precondition
None
Resources
J.L. Semmlow, B. Griffel, "Biosignal and Medical Image Processing"
Notes
J.M. Giron-Sierra, "Digital Signal Processing with Matlab Examples I, II, III"
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Student can perform signal processing for nonlinear or chaotic systems |
| LO02 | Can apply adaptive filters. |
| LO03 | Can use modern Spectral Analysis methods. |
| LO04 | Develops a digital system. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | To be able to reach new solutions by applying current and advanced technical approaches of mathematics, science and engineering sciences to current scientific problems encountered in the field of medicine and medical technologies. | 5 |
| PLO02 | Yetkinlikler - Öğrenme Yetkinliği | Having knowledge of the literature related to a sub-discipline of biomedical engineering, defining and modeling current problems, and being a specialist in that discipline. | 5 |
| PLO03 | Beceriler - Bilişsel, Uygulamalı | Analyzing data, making theoretical and simulation based designs, designing experiments and interpreting the results. | 5 |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Developing researched contemporary techniques, software, hardware and computational tools for engineering applications. | 5 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | To be able to analyze and design a process in line with a defined target. | |
| PLO06 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | To be able to carry out scientific studies with medical doctors and members of other disciplines from an engineering point of view. | |
| PLO07 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Expressing one's own findings orally and in writing, clearly and concisely, writing conference and journal papers. | |
| PLO08 | Yetkinlikler - Öğrenme Yetkinliği | To be able to improve oneself by embracing the importance of lifelong learning and by following the developments in science-technology and contemporary issues. | |
| PLO09 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | The ability to act independently, set priorities and be creative. | |
| PLO10 | Yetkinlikler - Alana Özgü Yetkinlik | Being aware of national and international contemporary scientific and social problems in the field of Biomedical Engineering. | |
| PLO11 | Yetkinlikler - Alana Özgü Yetkinlik | To be able to evaluate the contribution of engineering solutions to problems in medicine, medical technologies and health in a global and social context. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Autoregressive Model, Yule-Walker Equation | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 2 | Non-Parametric Analysis: Self-Analysis Frequency Estimation | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 3 | Optimal Signal Processing: Wiener Filters | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 4 | Adaptive Signal Processing I | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 5 | Adaptive Signal Processing II | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 6 | Filter Banks | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 7 | Wavelet Analysis | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Reivew | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Principal Component Analysis (PCA) | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 10 | Independent Component Analysis (ICA) | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 11 | Chaotic and Nonlinear Systems I | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 12 | Chaotic and Nonlinear Systems II | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 13 | Detection of Nonlinearity: Knowledge-Based Methods | Reading the relevant chapter in the book | Öğretim Yöntemleri: Anlatım |
| 14 | Application Examples I | Review | Öğretim Yöntemleri: Anlatım |
| 15 | Application Examples II | Review | Öğretim Yöntemleri: Anlatım |
| 16 | Term Exams | Review | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Review | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||