Subject: Digital Signal Processing (17 - EK314)


Basic Information

CategoryScientific-professional
Scientific or art field:Telecommunications and Signal Processing
InterdisciplinaryNo
ECTS7
Course specification

Course is active from 01.02.2008..


Course which have preconditioned courses Digital Signal Processing

Course idMandatoryMandatory
Digital filtersYesNo
Digital audio signal processingYesYes
As an introductory course in the series of course related to digital processing of certain types of signals, this course has an educational objective to offers students fundamental knowledge about digital processing and its application. The objective is to introduce students to digital signals and systems for their processing, as well as fundamentals of spectrum estimation and certain practical aspects of A/D and D/A conversion.
Students are introduced to the basic algorithms of the signal processing in the discrete time and to the most important transforms of discrete signals, including Fast Fourier transform. In practical problem solving sessions as well as lab work students gain practical experience with Matlab DSP Toolbox, where they analyze discrete-time signals, properties of their transforms, and get fundamental knowledge needed for the design of frequency selective systems. The students also learn about basic problems and algorithms for spectrum estimation.
• Practical aspects of A/D and D/A conversion and the sampling theorem. • Transform of discrete signals and connections between them (ZT, FTD, DFT). • Fast FT and fast convulsion. • Examples of digital FIR and IIR filter and their characteristics. • Basics of spectrum estimation (parametric and non-parametric methods).
The entire course of lectures (3 hours per week) is synchronized with practical problem solving sessions and lab work. Lectures rely on PowerPoint presentations available to the students in the .pdf format. At practical problem solving sessions students solve problems related to signal properties, their transforms as well as basic processing. The course includes lab work in the Computer Center of FTS, where students gain practical experience working with DSP software tools including Matlab DSP Toolbox. Practice preparation as well as homework are supported by the Web portal of the Chair for Telecommunications and Signal Processing, through specially designed interactive tutorials. Acquired theoretical knowledge is tested during the semester in the form of brief tests and a colloquium, while the final examination revisits the entire course material.
AuthorsNameYearPublisherLanguage
Sečujski, M., Jakovljević, N., Delić, V.Digitalna obrada signala2019Fakultet tehničkih nauka, Novi SadSerbian language
Sečujski, M., Delić, V., Jakovljević, N., Radić, I.Zbirka zadataka iz digitalne obrade signala2014Fakultet tehničkih nauka, Novi SadSerbian language
Milan Sečujski, Nikša Jakovljević, Vlado DelićPowerPoint prezentacije sa predavanja i on-line vežbe preko web portala Katedre za telekomunikacije i obradu signala2014Interni materijalSerbian language
Jakovljević, N., Sečujski, M., Suzić, S., Delić, V.Praktikum iz digitalne obrade signala2016Fakultet tehničkih nauka, Novi SadSerbian language
Course activity Pre-examination ObligationsNumber of points
TestYesYes10.00
TestYesYes10.00
TestYesYes10.00
Written part of the exam - tasks and theoryNoYes70.00
Coloquium examNoNo20.00
Name and surnameForm of classes
Missing picture!

Sečujski Milan
Full Professor

Lectures
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Simić Nikola
Asistent sa doktoratom

Practical classes
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Stanojev Vuk
Assistant - Master

Practical classes
Missing picture!

Stanojev Vuk
Assistant - Master

Laboratory classes
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Simić Nikola
Asistent sa doktoratom

Laboratory classes