DIGITAL SIGNAL PROCESSING
- Course
- EELE420 - DIGITAL SIGNAL PROCESSING
- Department
- Electrical - Electronic Engineering - English - Undergraduate
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 3
- ECTS
- 0
- T+P+L
- 3 + 0 + 0
- Course Coordinator(s)
- Assoc. Prof. Dr. Pouya BOLOURCHI
- Prerequisite
- -
- Keywords
- -
Course Description
-
DIGITAL SIGNAL PROCESSING
Evaluation Tools (Active Term)
| Item | Type | Weight (%) |
|---|---|---|
| Midterm | Midterm | 30 |
| Project | Project | 20 |
| Quiz | Quiz | 5 |
| Assignment | Assignment | 5 |
| Final | Final | 40 |
| Total | 100 | |
Course outcomes
No course outcomes have been defined yet.
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Introduction to Digital Signal Processing |
| Week 2 | Discrete-Time Signals |
| Week 3 | Discrete-Time Systems, LTI Systems and Convolution Sum |
| Week 4 | Difference Equations in Discrete-Time |
| Week 5 | Frequency-Domain Represantation of Discrete-Time Signals and Systems and Fourier Transform |
| Week 6 | Z-Transform and Properties of The Region of Convergence for the Z-Transform |
| Week 7 | Inverse Z-Transform, Z-Transform Properties and Z-Transforms in LTI Systems |
| Week 8 | Midterm Exam |
| Week 9 | Sampling of Continous-Time Signals |
| Week 10 | Discrete-Time Processing of Continuous-Time Signals, Continuous-Time Processing of Discrete-Time Signals, and Changing the Sampling Rate using Discrete-Time Processing, |
| Week 11 | Multirate Signal Processing, Digital Processing of Analog Signals, and Oversampling and Noise Shaping in A/D and D/A Conversion |
| Week 12 | Transform Analysis of LTI Systems |
| Week 13 | Structures for Discrete-Time Systems |
| Week 14 | Filter Design Techniques |
| Week 15 | Final Exam |
Reference Books & Course Materials
- 01 Alan V. Oppenheim and Ronald W. Schafer, Discrete-Time Signal Processing, Third Edition, Pearson Education, 2014
- 02 Alan V. Oppenheim and Alan S. Willsky, Signals and Systems, Second Edition, Prentice Hall
Learning Outcomes
No learning outcomes have been defined.
Program Outcomes
- P01 Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in complex engineering problems.
- P02 Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.
- P03 Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
- P04 Ability to devise, select, and use modern techniques and tools needed for analysing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively
- P05 Ability to design and conduct experiments, gather data, analyse and interpret results for investigating complex engineering problems or discipline specific research questions
- P06 Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
- P07 Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
- P08 Recognition of the need for lifelong learning ; ability to access information, to follow developments in science and technology, and to continue to educate him/herself
- P09 Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice.
- P10 Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
- P11 Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.
Po-Lo Matrix
The PO-LO matrix has not been populated yet.