| 1. | Course Title | Digital Signal Processing | |||||||||||
| 2. | Code | 4ФЕИТ05011 | |||||||||||
| 3. | Study program | 15-MMK | |||||||||||
| 4. | Organizer of the study program (unit, institute, department) | Faculty of Electrical Engineering and Information Technologies | |||||||||||
| 5. | Degree (first, second, third cycle) | Second cycle | |||||||||||
| 6. | Academic year/semester | I/1 | 7. | Number of ECTS credits | 6.00 | ||||||||
| 8. | Lecturer | Dr Dimitar Tashkovski | |||||||||||
| 9. | Course Prerequisites | ||||||||||||
| 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. |
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| 11. | Course Syllabus:
z- transformation (definition, convergence, properties, inverse). 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. |
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| 12. | Learning methods:
Lectures, supported by presentations and visualization of concepts, active participation of students, homework and project assignments |
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| 13. | Total number of course hours | 180 | |||||||||||
| 14. | Distribution of course hours | 3 + 3 | |||||||||||
| 15. | Forms of teaching | 15.1 | Lectures-theoretical teaching | 45 hours | |||||||||
| 15.2 | Exercises (laboratory, practice classes), seminars, teamwork | 45 hours | |||||||||||
| 16. | Other course activities | 16.1 | Projects, seminar papers | 30 hours | |||||||||
| 16.2 | Individual tasks | 30 hours | |||||||||||
| 16.3 | Homework and self-learning | 30 hours | |||||||||||
| 17. | Grading | ||||||||||||
| 17.1 | Exams | 0 points | |||||||||||
| 17.2 | Seminar work/project (presentation: written and oral) | 50 points | |||||||||||
| 17.3. | Activity and participation | 0 points | |||||||||||
| 17.4. | Final exam | 50 points | |||||||||||
| 18. | Grading criteria (points) | up to 50 points | 5 (five) (F) | ||||||||||
| from 51 to 60 points | 6 (six) (E) | ||||||||||||
| from 61 to 70 points | 7 (seven) (D) | ||||||||||||
| from 71 to 80 points | 8 (eight) (C) | ||||||||||||
| from 81 to 90 points | 9 (nine) (B) | ||||||||||||
| from 91 to 100 points | 10 (ten) (A) | ||||||||||||
| 19. | Conditions for acquiring teacher’s signature and for taking final exam | Regular attendance at classes | |||||||||||
| 20. | Forms of assessment | Project assignment and final exam. | |||||||||||
| 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. | М. Богданов и С. Богданова | Дигитално процесирање на сигнали | ЕТФ Скопје | 1998 | |||||||||
| 2. | A. Oppenheim, R. Schafer, J. Buck | Discret- Time Signal Processing, 2 edition | Prentice Hall | 1999 | |||||||||
| 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 | |||||||||
