Signal processing

1.

Subject title

Signal processing

Процесирање на сигналите

2.

Code

F23L3S047

3.

Study program

Примена на информациски технологии, Софтверско инженерство и информациски системи, Компјутерски науки, Интернет, мрежи и безбедност, Информатичка едукација, Software engineering and information systems, Компјутерско инженерство, Примена на информациски технологии, Софтверско инженерство и информациски системи, Компјутерски науки, Интернет, мрежи и безбедност, Software engineering and information systems, Компјутерско инженерство, Стручни студии за програмирање, Стручни студии за програмирање,

4.

Organizer of the study program (unit, institute, department, division)

Faculty of Information Sciences and Computer Engineering

5.

Study cycle (first, second, third)

Прв циклус

6.

Academic year / semester

3 / Летен

7. Number of ECTS credits

6.0

8.

Instructor

проф. д-р Ласко Баснарков

9.

Prerequisites for enrollment

Математика 1 или Калкулус 1

10.

Subject goals and competencies:

Knowledge of the fundamentals and techniques of digital signal processing is important for any engineer working on signal processing applications. The course introduces students to the theoretical foundations of digital signal processing, including discretization, Fourier and z-transformation. Students will also gain knowledge of basic tools such as digital IIR and FIR filters. The course will also cover the basics of management theory. Through numerous examples and exercises, students will learn to practically use ready tools for signal processing.

11.

Subject content:

Lectures: 1. Introduction to digital signal processing and the necessary mathematical skills 2. Basic signals in discrete time and operations with them 3. Discrete Fourier transform and discrete time Fourier transform 4. Relationships between Fourier transforms and their properties 5. Fast Fourier transform 6. Linear time-invariant systems 7. z – transformation and inverse z – transformation 8. Digital filters. Designing filters 9. Sampling and interpolation 10. Stochastic signal processing and quantization 11. Two-dimensional Fourier analysis 12. Foundations of management theory Exercises: 1. Repetition of mathematical tools needed for digital signal processing 2. Solving tasks with the basic types of signals in discrete time 3. Solving problems with Discrete Fourier transformation 4. Solving tasks where the properties of Fourier transformations are applied 5. Solving problems with practical calculation of the discrete Fourier transform 6. Solving problems with linear time-invariant systems 7. Solving problems with z-transformation and inverse z-transformation 8. Solving tasks by designing filters 9. Solving problems with signal sampling and interpolation 10. Solving problems with stochastic signals and quantization of signals 11. Solving simple problems with two-dimensional Fourier analysis 12. Solving simple examples with management theory

12.

Learning methods:

Предавања со користење на презентации, интерактивни предавања, вежби (користење на опрема и софтверски пакети), тимска работа, пример случаи, поканети гости предавачи, самостојна изработка и одбрана на проектна задача и семинарска работа.

13.

Total available time fund

6.0 ECTS x 30 hours = 180 hours

14.

Time distribution

30 + 45 + 15 + 15 + 75 = 180 hours

15.

Forms of teaching activities

15.1.

Lectures - theoretical teaching

30 hours

15.2.

Exercises (laboratory, classroom), seminars, team work

45 hours

16.

Other forms of activities

16.1.

Project tasks

15 hours

16.2.

Independent tasks

15 hours

16.3.

Homework

75 hours

17.

Grading method

17.1.

Tests

10 points

17.2.

Seminar work / project (presentation: written and oral)

15 points

17.3.

Activities and learning

10 points

17.4.

Final exam

70 points

18.

Grading criteria (points / grade)

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.

Condition for signature and taking final exam

Реализирани актибвности 15.2 и 16.1

20.

Language of instruction

Македонски и англиски

21.

Quality assurance method

механизам на интерна евалуација и анкети

22.

Literature

22.1.

Mandatory literature

22.2.

Additional literature