Subject: Digital Signal Processing (17.EK314 )
Native organizations units: Department of Power, Electronic and Telecommunication Engineering
Study programmes of the course:
| Type of studies | Title |
|---|---|
| Undergraduate Academic Studies | Measurement-Information Technologies and Control Engineering (Godina: 3, Summer) |
| Undergraduate Academic Studies | Measurement-Information Technologies and Control Engineering (Godina: 2, Summer) |
Educational goal:
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.
Educational outcome:
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.
Course content:
• 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).
Teaching 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.
Literature:
| Authors | Title | Year | Publisher | Language |
|---|---|---|---|---|
| Jakovljević, N., Sečujski, M., Suzić, S., Delić, V. | Praktikum iz digitalne obrade signala | 2016 | Fakultet tehničkih nauka, Novi Sad | Serbian language |
| Sečujski, M., Jakovljević, N., Delić, V. | Digitalna obrada signala | 2019 | Fakultet tehničkih nauka, Novi Sad | Serbian language |
| Sečujski, M., Delić, V., Jakovljević, N., Radić, I. | Zbirka zadataka iz digitalne obrade signala | 2014 | Fakultet tehničkih nauka, Novi Sad | Serbian language |
| Milan Sečujski, Nikša Jakovljević, Vlado Delić | 2014 | Interni materijal | 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 |
| Coloquium exam | No | No | 20.00 |
Lecturers:
Asistent sa doktoratom dr Simić Nikola
Assistant with PhD
Laboratory classes
Asistent Stanojev Vuk
Assistant - Master
Practical classes
Asistent sa doktoratom dr Simić Nikola
Assistant with PhD
Practical classes
Asistent Stanojev Vuk
Assistant - Master
Laboratory classes
prof. dr Sečujski Milan
Full Professor
Lectures
Faculty of Technical Sciences
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Contact:
Address: Trg Dositeja Obradovića 6, 21102 Novi Sad
© 2024. Faculty of Technical Sciences.