Subject: Application of Digital Signal Processing in Telecommunications (17 - S0151)

Basic Information

Scientific or art field:Telecommunications and Signal Processing
Course specification

Course is active from 01.10.2009..

The educational aim of the course is to provide students with the fundamental knowledge on digital signal processing and its application in telecommunications. The objective is that students become familiar with digital signals and systems for their processing, as well as methods for their design.
During the lectures the students are introduced to main algorithms for signal processing in discrete time and the most important transformations of discrete signals. Digital filters are introduced through specific examples, and then the students learn the basic methods for their design using appropriate software tools. Based on the acquired knowledge, the students will be able to analyse the set problem, select the appropriate digital filter class and optimal design method, design and implement a digital filter. In practical classes the students will gain experience with the Matlab DSP Toolbox. The students will be able to identify and qualify potential problems in digital filter implementation and to find solution. Throughout the course there will be examples of applications in telecommunications.
Discrete-time signals and systems. Transformations of discrete signals and links between them (ZT, FTD, DFT). Fast FT and fast convolution. Examples of digital FIR and IIR filters and their characteristics. Main methods for digital filter design. Applications in telecommunications.
Throughout the course, lecture classes (3 hours a week) are supported by corresponding auditory and computer practice classes (1 hour each). The lectures use PowerPoint presentations available to students in pdf format During the auditory practice tutorials, attention is given to solving less complicated tasks on spectral analysis and filter design. The whole material is supported by lab work at the Computer Center where students obtain practical experience in the work with DSP software tools. Preparation for practice classes and homework are carried out through the web portal of the Chair using on-line exercises. The obtained knowledge is tested during the semester in the form of tests and a colloquium, while the final examination revisits the entire course material.
Sečujski, M., Jakovljević, N., Delić, V.Digitalna obrada signala2019Fakultet tehničkih nauka, Novi SadSerbian language
Sečujski, M. i dr.Zbirka zadataka iz digitalne obrade signala2007Fakultet tehničkih nauka, Novi SadSerbian language
Milan Sečujski, Nikša Jakovljević, Vlado DelićPrezentacije sa predavanja i on-line vežbe preko web portala Katedre za telekomunikacije i obradu signala2014Interni materijalSerbian language
Jakovljević, N., i dr.Praktikum iz digitalne obrade signala2016Fakultet tehničkih nauka, Novi SadSerbian language
Course activity Pre-examination ObligationsNumber of points
Final exam - part oneNoNo35.00
Written part of the exam - tasks and theoryNoYes70.00
Name and surnameForm of classes
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Sečujski Milan
Full Professor

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Jakovljević Nikša
Associate Professor

Practical classes
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Simić Nikola
Asistent sa doktoratom

Computational classes
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Ninković Vukan
Assistant - Master

Computational classes