Digital Signal Processing

Последна измена: November 29, 2022
1. Course Title Digital Signal Processing
2. Code 4ФЕИТ05З011
3. Study program КХИЕ
4. Organizer of the study program (unit, institute, department) Faculty of Electrical Engineering and Information Technologies
5. Degree (first, second, third cycle) First cycle
6. Academic year/semester III/5 7. Number of ECTS credits 6
8. Lecturer D-r Marija Markovska Dimitrovska
9. Course Prerequisites Passed: Signals and Systems
10. Course Goals (acquired competencies): The course aims to provide a formal understanding of the basic concepts of digital signal processing as well as practical experience for processing digital signals.
After completing the course, the student is able to:
–digitally process analog signals taking into account all the possible consequences of their discretization; –
to use DFT and its fast FFT algorithm in the domain of spectral analysis aware of all the consequences;
-to design IIR and FIR digital filters as well as to use software tools and CAD packages for designing or simulating digital filters.
11. Course Syllabus: Discrete systems. Transfer function. Frequency characteristic. Discrete systems excited by random signals. Discretisation. Discrete Fourier Transformation (DFT): Definition, Properties, Fast Fourier Transformation (FFT). Convolutions: linear, circular, relationship between them, filtering with FFT, convolution of long sequences. Spectral analysis with DFT: spectrum of finite and infinite signals, calculation of the signal from the spectrum, calculation of the analog signal from the spectrum. Digital filters: classification, methods for designing FIR digital filters, methods for designing IIR digital filters. Quantization. Quantization effects
12. Learning methods: Blended teaching method: lecturing, tutorials supported by presentations and visualization of concepts, active participation of students through tests and assignments, all supported by learning management system.
13. Total number of course hours 3 + 1 + 1 + 0
14. Distribution of course hours 180
15. Forms of teaching 15.1. Lectures-theoretical teaching 45
15.2. Exercises (laboratory, practice classes), seminars, teamwork 30
16. Other course activities 16.1. Projects, seminar papers 0
16.2. Individual tasks 30
16.3. Homework and self-learning 75
17. Grading 17.1. Exams 10
17.2. Seminar work/project (presentation: written and oral) 10
17.3. Activity and participation 10
17.4. Final exam 70
18. Grading criteria (points) up to 50 points 5 (five) (F)
from 51to 60 points 6 (six) (E)
from 61to 70 points 7 (seven) (D)
from 71to 80 points 8 (eight) (C)
from 81to 90 points 9 (nine) (B)
from 91to 100 points 10 (ten) (A)
19. Conditions for acquiring teacher’s signature and for taking final exam Lectures and tutorials attendance and successful completion of lab exercises.
20. Forms of assessment

During the semester, two partial exams are provided (at the middle and at the end of the semester, each with duration of 120 minutes), laboratory exercises, homeworks and a project work. The project work has to be handed over by the beginning of the first exam session.
The requirement for passing the course through partial exams is minimum 50% of the total number of points from all activities and additionally minimum 50% of the total number of points from the partial exams.
In the exam sessions, a whole exam is taken (with duration of 120 minutes). The requirement for passing the course through an exam is minimum 50% of the total number of points from all activities (whole exam, laboratory exercises, homeworks and project work) and additionally minimum 50% of the total number of points from the exam.
The use of books, scripts, or notes of any kind during the exam, as well as a mobile phone, tablet or any other electronic device is not allowed.

21. Language Macedonian and English
22. Method of monitoring of teaching quality Internal evaluation and surveys
23. Literature
23.1. Required Literature
No. Author Title Publisher Year
1 A. Oppenheim, R. Schafer, J. Buck Discret- Time Signal Processing, 2 edition Prentice Hall 1999
2 M. Bogdanov, S.Bogdanov Digital Signal Processing ETF 1998
23.2. Additional Literature
No. Author Title Publisher Year
1 Mitra Sanjit K. Digital Signal Processing:A Computer-Based approach, 2 еdition McGraw Hill 2001