INTERNATIONAL BURCH UNIVERSITY
Faculty of Engineering and Natural Sciences
Department of Electrical and Electronic Engineering
2015-2016
| SYLLABUS |
| Code |
Name |
Level |
Year |
Semester |
| EEE 334 |
Digital Signal Processing |
Undergraduate |
3 |
Fall |
| Status |
Number of ECTS Credits |
Class Hours Per Week |
Total Hours Per Semester |
Language |
| Area Elective |
5 |
2 + 2 |
120 |
English |
| Instructor |
Assistant |
Coordinator |
| Jasmin Kevrić, Assist. Prof. Dr. |
|
Jasmin Kevrić, Assist. Prof. Dr. |
| [email protected] |
|
no email |
| COURSE OBJECTIVE |
| The aim of this course is to provide fundamental concepts in digital signals and systems, as an introduction to advance digital signal processing. Digital signal processing represents a base upon which various engineering systems are build, including communication systems, image processing, speech processing, consumer electronics, and data processing. This course aims at preparing the student for basic DSP activities, focusing mostly on digital filter design, providing a solid ground for upgrade and work on practical DSP devices, as well as general purpose hardware in role of DSP |
| COURSE CONTENT |
- Sampling Theory
- Sampling Theory
- Discrete-Time S&S
- Discrete-Time S&S
- The Z-Transform
- The Z-Transform
- Midterm Review
- M I D T E R M E X A M
- Fourier Analysis of Discrete-Time S&S
- Fourier Analysis of Discrete-Time S&S
- Design of Discrete Filters
- Design of Discrete Filters
- Applications
- Applications
- Final Review
|
| Description |
- Interactive Lectures
- Practical Sessions
- Excersises
- Problem solving
|
| Description (%) |
| Quiz | 10 | 20 | | Midterm Exam(s) | 1 | 35 | | Attendance | 1 | 5 | | Final Exam | 1 | 40 |
|
| Learning outcomes |
- Describe the properties of discrete LTI systems;
- Understand mathematical descriptions and representations of discreet signals and systems and draw parallel with continuous time signals and systems
- Understand how to sample the continuous time signal at hand;
- Familiarize with the idea of representing discrete time signals and LTI systems in the Z domain;
- Familiarize with the idea of representing discrete time signals and LTI systems in the frequency domain;
- Understand spectral representation of signals via DTFT, DFT, and FFT, and their properties and applications;
- Ability to solve difference equations;
- Ability to design digital filters;
|
| TEXTBOOK(S) |
- Luis F. Chaparro, “Signals and Systems using MATLAB”, Academic Press, 2010
|
| ECTS (Allocated based on student) WORKLOAD |
| Lecture (14 weeks x Lecture hours per week) | 14 | 2 | 28 | | Laboratory / Practice (14 weeks x Laboratory/Practice hours per week) | 14 | 2 | 28 | | Midterm Examination (1 week) | 1 | 2 | 2 | | Final Examination(1 week) | 1 | 2 | 2 | | Preparation for Midterm Examination | 1 | 15 | 15 | | Preparation for Final Examination | 1 | 25 | 25 | | Assignment / Homework/ Project | 10 | 2 | 20 | | Seminar / Presentation | | | 0 |
|