Subject: Application of Digital Signal Processing in Telecommunications (17.S0151 )
Native organizations units: Department of Power, Electronic and Telecommunication Engineering
Study programmes of the course:
| Type of studies | Title |
|---|---|
| Master Academic Studies | Postal Traffic and Telecommunications (Godina: 1, Winter) |
Educational goal:
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.
Educational outcome:
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.
Course content:
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.
Teaching methods:
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.
Literature:
| Authors | Title | Year | Publisher | Language |
|---|---|---|---|---|
| Sečujski, M. i dr. | Zbirka zadataka iz digitalne obrade signala | 2007 | Fakultet tehničkih nauka, Novi Sad | Serbian language |
| Sečujski, M., Jakovljević, N., Delić, V. | Digitalna obrada signala | 2019 | Fakultet tehničkih nauka, Novi Sad | Serbian language |
| Milan Sečujski, Nikša Jakovljević, Vlado Delić | Prezentacije sa predavanja i |
2014 | Interni materijal | Serbian language |
| Jakovljević, N., i dr. | Praktikum iz digitalne obrade signala | 2016 | Fakultet tehničkih nauka, Novi Sad | Serbian language |
Knowledge evaluation:
| Course activity | Pre-examination | Obligations | Number of points |
|---|---|---|---|
| Test | Yes | Yes | 10.00 |
| Test | Yes | Yes | 10.00 |
| Written part of the exam - tasks and theory | No | Yes | 70.00 |
| Test | Yes | Yes | 10.00 |
| Final exam - part one | No | No | 35.00 |
Lecturers:
vanr. prof. dr Jakovljević Nikša
Associate Professor
Practical classes
Asistent Ninković Vukan
Assistant - Master
Computational classes
prof. dr Sečujski Milan
Full Professor
Lectures
Asistent sa doktoratom dr Simić Nikola
Assistant with PhD
Computational classes
Faculty of Technical Sciences
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Contact:
Address: Trg Dositeja Obradovića 6, 21102 Novi Sad
© 2024. Faculty of Technical Sciences.