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Department of Biomedical Engineering
EEE 413 | Course Introduction and Application Information
| Course Name |
Digital Signal Processing
|
|
Code
|
Semester
|
Theory
(hour/week) |
Application/Lab
(hour/week) |
Local Credits
|
ECTS
|
|
EEE 413
|
SPRING
|
2
|
2
|
3
|
6
|
| Prerequisites | EEE 301 To succeed (To get a grade of at least DD) or, EEE 309 To succeed (To get a grade of at least DD) | |||||
| Course Language | English | |||||
| Course Type | ELECTIVE_COURSE | |||||
| Course Level | First Cycle | |||||
| Mode of Delivery | Face-to-Face | |||||
| Teaching Methods and Techniques of the Course |
Application: Experiment / Laboratory/ Workshop Lecture / Presentation |
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| National Occupational Classification Code | - | |||||
| Course Coordinator |
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| Course Lecturer(s) |
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| Assistant(s) |
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| Course Objectives | This course covers the principles and applications of digital signal processing. Topics include the representation, analysis, and design of discrete-time signals and systems; sampling and discrete-time processing of continuous-time signals; frequency domain representations such as Fourier series and transform; Z-transform; flow graph structures for discrete time systems; the relationship between continuous-time and discrete-time frequency representations; discrete Fourier transform (OFT) and fast Fourier transform (FFT); and the design techniques of recursive (IIR) and non-recursive (FIR) filters. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning Outcomes |
The students who succeeded in this course;
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| Course Description | The aim of this course is to introduce students to the fundamental mathematical tools used in digital signal processing and linear system analysis through examples. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Related Sustainable Development Goals |
-
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|
|
Core Courses |
|
| Major Area Courses |
X
|
|
| Supportive Courses |
|
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| Media and Managment Skills Courses |
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| Transferable Skill Courses |
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WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Required Materials | Learning Outcome |
| 1 | Introduction and mathematical foundations, review of continuous-time signal and system concepts; sampling theorem | - | |
| 2 | Discrete-time signals and systems | Chapter 2. A. V. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing, ISBN: 978- 1-292-02572-8 | 85ac492b |
| 3 | Linear, time-invariant systems and their properties; convolution sum; difference equations | Chapter 2. AV. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing, ISBN: 978-1- 292-02572-8 | e78a490e |
| 4 | Discrete-time Fourier transform and its properties; frequency domain representations; inverse transform and properties | Chapter 2. AV. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing, ISBN: 978-1- 292-02572-8 | 85ac492b |
| 5 | Discrete-time Fourier transform and its properties; frequency domain representations; inverse transform and properties | Chapter 2. AV. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing, ISBN: 978-1- 292-02572-8 | e78a490e |
| 6 | Z-t ransform and its properties, inverse transforms; analysis of linear, timeinvariant systems in the Z-plane | Chapter 3. AV. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing, ISBN: 978-1- 292-02572-8 | 85ac492b |
| 7 | Z-t ransform and its properties, inverse transforms; analysis of linear, timeinvariant systems in the Z-plane | Chapter 3. A. V. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing, ISBN: 978-1- 292-02572-8 | e78a490e |
| 8 | Midterm Exam | - | |
| 9 | IIR and FIR system structures; signal flow graph representations | Chapter 6. AV. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing, ISBN: 978-1- 292-02572-8 | 2f828841 |
| 10 | IIR and FIR system structures; signal flow graph representations | Chapter 6. AV. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing, ISBN: 978-1- 292-02572-8 | 2f828841 |
| 11 | IIR and FIR filter design and examples | Chapter 7. AV. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing, ISBN: 978-1- 292-02572-8 | 2f828841 |
| 12 | Discrete-time Fourier series and discrete Fourier transform (DFT); circular convolution; linear convolution using DFT | Chapter 8. A. V. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing, ISBN: 978-1- 292-02572-8 | 65531663 |
| 13 | Discrete-time Fourier series and discrete Fourier transform (DFT); circular convolut ion; linear convolution using DFT | Chapter 8. A. V. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing, ISBN: 978-1- 292-02572-8 | 65531663 |
| 14 | Fast Fourier transform (FFT) algorithms and structures | Chapter 9. A. V. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing, ISBN: 978-1- 292-02572-8 | 60c21993 |
| 15 | Fast Fourier transform (FFT) algorithms and structures | Chapter 9. A. V. Oppenheim, R. W. Schafer, Discrete-Time Signal Processing, ISBN: 978-1- 292-02572-8 | 60c21993 |
| 16 | Final Exam | - |
| Course Notes/Textbooks | A. V. Oppenheim R. W. Schafer Discrete-Time Signal Processing Pearson 2014 3/ E ISBN: 978-1-292-02572-8. |
| Suggested Readings/Materials | J. G. Proakis D. K. Manolakis Digital Signal Processing Pearson 2014 4/ E ISBN: 978-1-292-02573-5. |
EVALUATION SYSTEM
| Semester Activities | Number | Weighting | LO1 | LO2 | LO3 | LO4 | LO5 | LO6 |
| Laboratory / Application | 1 | 30 | X | X | X | X | X | X |
| Midterm | 1 | 30 | X | X | ||||
| Final Exam | 1 | 40 | X | X | X | X | ||
| Total | 3 | 100 |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Participation | - | - | - |
| Theoretical Course Hours | 16 | 2 | 32 |
| Laboratory / Application Hours | 16 | 2 | 32 |
| Study Hours Out of Class | 14 | 3 | 42 |
| Field Work | - | - | - |
| Quizzes / Studio Critiques | - | - | - |
| Portfolio | - | - | - |
| Homework / Assignments | - | - | - |
| Presentation / Jury | - | - | - |
| Project | - | - | - |
| Seminar / Workshop | - | - | - |
| Oral Exams | - | - | - |
| Midterms | 1 | 34 | 34 |
| Final Exam | 1 | 40 | 40 |
| Total | 180 |
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
| # | PC Sub | Program Competencies/Outcomes | * Contribution Level | ||||
| 1 | 2 | 3 | 4 | 5 | |||
| No program competency data found. | |||||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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