Digital Signall Processing

Објавено: October 12, 2018
  1.    Course Title Digital Signall Processing
  2.    Code 3ФЕИТ05З012
  3.    Study program KHIE
  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 6.00
  8.    Lecturer Dr Dimitar Tashkovski
  9.    Course Prerequisites Taken course: 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 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 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
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