DIGITAL SIGNAL PROCESSING
| Title | ΨΗΦΙΑΚΗ ΕΠΕΞΕΡΓΑΣΙΑ ΣΗΜΑΤΟΣ / DIGITAL SIGNAL PROCESSING |
| Code | NDM-06-01 |
| Faculty | Sciences |
| School | Informatics |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Spring |
| Coordinator | Nikolaos Laskaris |
| Common | No |
| Status | Active |
| Course ID | 40002961 |
Programme of Study: PPS-Tmīma Plīroforikīs (2019-sīmera)
Registered students: 8
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| GENIKĪ KATEUTHYNSĪ | YPOCΗREŌTIKO KATA EPILOGĪ | 6 | 3 | 5 |
| Academic Year | 2017 – 2018 |
| Class Period | Spring |
| Faculty Instructors |
|
| Weekly Hours | 4 |
| Class ID | 600104725
|
Class Schedule
| Building | Βιολογίας |
| Floor | Ισόγειο |
| Hall | Αίθουσα Γ (570) |
| Calendar | Παρασκευή 14:00 έως 16:00 |
| Building | Βιολογίας |
| Floor | Ισόγειο |
| Hall | Αίθουσα Γ (570) |
| Calendar | Τρίτη 14:00 έως 16:00 |
Course Type 2016-2020
- Background
Course Type 2011-2015
General Foundation
Mode of Delivery
- Face to face
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600104725
- eLearning (Moodle):
Erasmus
The course is also offered to exchange programme students.
Language of Instruction
- Greek (Instruction, Examination)
Prerequisites
General Prerequisites
Prior exposition to linear algebra, calculus of functions of one independent real variable, complex analysis and theory of linear systems
Learning Outcomes
Cognitive: Understanding the basic principles of digital signal processing. Acquaintance with the mathematical modelling of digital signals and the design of discrete-time systems. Practice using MATLAB.
Skills: Digital filter design. Linear techniques for reforming a signals of interest and performing transformations of its spectrum. Ability to adapt the presented techniques to signals from realistic applications (e.g. biosignals)
General Competences
- Apply knowledge in practice
- Retrieve, analyse and synthesise data and information, with the use of necessary technologies
- Work autonomously
- Be critical and self-critical
- Advance free, creative and causative thinking
Course Content (Syllabus)
Sampling and reconstruction of signals. Windowing. Discrete Fourier transform. Fast Fourier transform.FIR filter design. IIR filter design. Digital filter implementations. Special types of digital filters. Spectral estimation techniques. Introduction to Wavelet transform. Programming exercises in MATLAB environment.
Keywords
digital filters, spectral analysis
Educational Material Types
- Notes
- Slide presentations
- Multimedia
- Book
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
Description
Software Demonstration.
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 26 | ✓ | |||
| Reading Assigment | 48 | ||||
| Tutorial | 26 | ✓ | |||
| Project | 50 | ✓ | |||
| Total | 150 |
Student Assessment
Description
Written examination, oral exams on project deliverables. Written exams accounts for the 70% of the total mark, while performance at programming exercises accounts for the rest 30%. Details can be found at the course website.
Student Assessment methods
- Oral Exams (Summative)
- Written Exam with Problem Solving (Summative)
- Report (Summative)
Bibliography
Course Bibliography (Eudoxus)
Βιβλίο [18548755]: Βασικές τεχνικές ψηφιακής επεξεργασίας σημάτων, Μουστακίδης Γεώργιος Β. Λεπτομέρειες
Βιβλίο [22721720]: ΨΗΦΙΑΚΗ ΕΠΕΞΕΡΓΑΣΙΑ ΣΗΜΑΤΩΝ, Oppenheim/Schafer
Last Update
30-06-2018
