Course Name | Digital Signal Processing |
Code | Semester | Theory (hour/week) | Application/Lab (hour/week) | Local Credits | ECTS |
---|---|---|---|---|---|
EEE 413 | Fall/Spring | 2 | 2 | 3 | 6 |
Prerequisites |
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Course Language | English | ||||||||
Course Type | Elective | ||||||||
Course Level | First Cycle | ||||||||
Mode of Delivery | - | ||||||||
Teaching Methods and Techniques of the Course | |||||||||
Course Coordinator | |||||||||
Course Lecturer(s) | |||||||||
Assistant(s) | - |
Course Objectives | The main objective of this course is to introduce the fundamental concepts of mathematical tools in digital signal processing and linear systems analysis with examples from signal processing, communications, and control. Representation, analysis, and design of discrete time signals and systems. Discretetime processing of continuoustime signals. Frequency domain representations: Fourier series and transforms. Decimation, interpolation, and sampling rate conversion. Flowgraph structures for DT systems. Time and frequencydomain design techniques for recursive (IIR) and nonrecursive (FIR) filters. Linear prediction. Connection between continuous and discrete time frequency representations. Discrete Fourier transform (DFT) and fast Fourier transform (FFT). Shorttime Fourier analysis and filter banks. |
Learning Outcomes | The students who succeeded in this course;
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Course Description | Topics covered in class mainly include principles and applications of digital signal processing. Representation, analysis, and design of digital signals and systems. Discretetime processing of continuoustime signals. Frequency domain representations: Fourier series and transforms. Decimation, interpolation, and sampling rate conversion. Time and frequencydomain design techniques for recursive (IIR) and nonrecursive (FIR) filters. Discrete Fourier transform (DFT) and fast Fourier transform (FFT). Shorttime Fourier analysis and filter banks. |
Related Sustainable Development Goals | |
| Core Courses | |
Major Area Courses | ||
Supportive Courses | ||
Media and Managment Skills Courses | ||
Transferable Skill Courses |
Week | Subjects | Required Materials |
1 | Introduction | Chapter 1. DiscreteTime Signal Processing. Oppenheim & Schafer. ISBN 9780132067096. |
2 | Discrete-time signals and systems | Chapter 2.1-2.2. DiscreteTime Signal Processing. Oppenheim & Schafer. ISBN 9780132067096. |
3 | LTI systems; Properties of LTI systems; Difference equations | Chapter 2.3-2.5. DiscreteTime Signal Processing. Oppenheim & Schafer. ISBN 9780132067096. |
4 | Discrete-time Fourier Transform; Frequency domain representation | Chapter 2.6-2.9. DiscreteTime Signal Processing. Oppenheim & Schafer. ISBN 9780132067096. |
5 | The z-transform; Properties; Inverse z-transform; Partial fraction expansion | Chapter 3.1-3.4. DiscreteTime Signal Processing. Oppenheim & Schafer. ISBN 9780132067096. |
6 | Analysis of LTI systems in z-domain; the unilateral z-transform | Chapter 3.5-3.6. DiscreteTime Signal Processing. Oppenheim & Schafer. ISBN 9780132067096. |
7 | Transform analysis of LTI systems; System functions; Stability and causality | Chapter 5.1-5.2. DiscreteTime Signal Processing. Oppenheim & Schafer. ISBN 9780132067096. |
8 | Frequency response of LTI systems; All-pass and minimum-phase systems; Generalized linear phase | Chapter 5.3-5.7. DiscreteTime Signal Processing. Oppenheim & Schafer. ISBN 9780132067096. |
9 | Structures for IIR and FIR systems; Signal flow graph representation | Chapter 6.1-6.6. DiscreteTime Signal Processing. Oppenheim & Schafer. ISBN 9780132067096. |
10 | Design of IIR filters from analog filters; Frequency transformations; Design examples | Chapter 7.1-7.4. DiscreteTime Signal Processing. Oppenheim & Schafer. ISBN 9780132067096. |
11 | Design of FIR filters; Kaiser window method; The Parks-McClellan algortihm; Design examples | Chapter 7.5-7.8. DiscreteTime Signal Processing. Oppenheim & Schafer. ISBN 9780132067096. |
12 | The Discrete Fourier Series (DFS);The Discrete Fourier Transform (DFT); Circular convolution; Linear convolution using DFT | Chapter 8.1-8.7. DiscreteTime Signal Processing. Oppenheim & Schafer. ISBN 9780132067096. |
13 | Computation of the DFT; Decimation-in-time and decimation-in-frequency FFT algorithms | Chapter 9.1-9.3. DiscreteTime Signal Processing. Oppenheim & Schafer. ISBN 9780132067096. |
14 | Spectral analysis with the DFT; The Periodogram; Power spectrum estimation | Chapter 10.1-10.5. DiscreteTime Signal Processing. Oppenheim & Schafer. ISBN 9780132067096. |
15 | Final exam review | Lecture notes |
16 | Review of the Semester |
Course Notes/Textbooks | A. V. Oppenheim, R. W. Schafer, “DiscreteTime Signal Processing”, 3rd Ed., Pearson International Edition, Upper Saddle River, NJ 07458, 2010, ISBN 9780132067096. |
Suggested Readings/Materials | J.G.Proakis, D.G. Manolakis, “Digital Signal Processing”, 4th Ed., Pearson International Edition, Upper Saddle River, NJ 07458, 2007. ISBN 9780131873741. |
Semester Activities | Number | Weigthing |
Participation | - | - |
Laboratory / Application | 1 | 30 |
Field Work | ||
Quizzes / Studio Critiques | - | - |
Portfolio | ||
Homework / Assignments | ||
Presentation / Jury | ||
Project | - | - |
Seminar / Workshop | ||
Oral Exam | ||
Midterm | 1 | 30 |
Final Exam | 1 | 40 |
Total |
Weighting of Semester Activities on the Final Grade | 2 | 60 |
Weighting of End-of-Semester Activities on the Final Grade | 1 | 40 |
Total |
Semester Activities | Number | Duration (Hours) | Workload |
---|---|---|---|
Course Hours (Including exam week: 16 x total hours) | 16 | 2 | 32 |
Laboratory / Application Hours (Including exam week: 16 x total hours) | 16 | 2 | |
Study Hours Out of Class | 16 | 3 | 48 |
Field Work | |||
Quizzes / Studio Critiques | - | - | |
Portfolio | |||
Homework / Assignments | - | - | |
Presentation / Jury | |||
Project | - | ||
Seminar / Workshop | |||
Oral Exam | |||
Midterms | 1 | 30 | |
Final Exams | 1 | 38 | |
Total | 180 |
# | Program Competencies/Outcomes | * Contribution Level | ||||
1 | 2 | 3 | 4 | 5 | ||
1 | To have adequate knowledge in Mathematics, Science and Biomedical Engineering; to be able to use theoretical and applied information in these areas on complex engineering problems. | |||||
2 | To be able to identify, define, formulate, and solve complex Biomedical Engineering problems; to be able to select and apply proper analysis and modeling methods for this purpose. | |||||
3 | To be able to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the requirements; to be able to apply modern design methods for this purpose. | |||||
4 | To be able to devise, select, and use modern techniques and tools needed for analysis and solution of complex problems in Biomedical Engineering applications. | |||||
5 | To be able to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or Biomedical Engineering research topics. | |||||
6 | To be able to work efficiently in Biomedical Engineering disciplinary and multi-disciplinary teams; to be able to work individually. | |||||
7 | To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively, to be able to give and receive clear and comprehensible instructions. | |||||
8 | To have knowledge about global and social impact of Biomedical Engineering practices on health, environment, and safety; to have knowledge about contemporary issues as they pertain to engineering; to be aware of the legal ramifications of engineering solutions. | |||||
9 | To be aware of ethical behavior, professional and ethical responsibility; to have knowledge about standards utilized in engineering applications. | |||||
10 | To have knowledge about industrial practices such as project management, risk management, and change management; to have awareness of entrepreneurship and innovation; to have knowledge about sustainable development. | |||||
11 | To be able to collect data in the area of Biomedical Engineering, and to be able to communicate with colleagues in a foreign language. | |||||
12 | To be able to speak a second foreign language at a medium level of fluency efficiently. | |||||
13 | To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Biomedical Engineering. |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest