Faculty of Technical Sciences

Subject: Digital filters (17.EK411)

Native organizations units: Department of Power, Electronic and Telecommunication Engineering
General information:
 
Category Scientific-professional
Scientific or art field Telecommunications and Signal Processing
Interdisciplinary No
ECTS 6
Educational goal:

After gaining fundamental knowledge about digital signal processing in the course of the same name, this course objective is to extend and deepen the knowledge of students through introduction to the more advanced algorithms and applications of digital signal processing. The goal is to get introduced to the designing methods of digital filters and adaptive systems used in the practice.

Educational outcome:

Students get introduced to the theoretical limits and designing methods of digital filters and adaptive systems in the lectures. They will learn to choose optimal structures for the realization and to design complex systems for digital signal processing.

Course content:

- Ad hoc filter design - placing zeros and poles in z-plane (all-pass, notch, comb, discrete resonator). - FIR filter design based on window functions, sampling in the frequency domain, and Parks-McClellan algorithm. - IIR filter design by transforming an analog prototype filter to digital equivalent using pulse-invariant and bilinear transformation.- Adaptive systems (Wiener filter, LMS). - Multi-rate systems. - Methods of selection of structure for the digital filter realization.

Teaching methods:

The whole course of lectures (2 hours per week) is continually followed by the synchronized auditory (1 hour) and computer practice (2 hours per week). Lectures are held by the professor using the PowerPoint presentations available to the students in the .pdf format. Presentations with animations illustrate critical details from the lectures. Problems are solved in the auditory practice. The whole course is followed by the Laboratory practice for digital signal processing at the Faculty of Technical Sciences, where students gain practical experience working on the software tools for digital filter design. Practice preparation is done through the Web portal of the Department using specially designed on-line exercises. Part of the acquired theoretical knowledge is tested during the semester in the form of test, and in the final examination the entire acquired knowledge in this course is tested.

Literature:
Authors Title Year Publisher Language
Sečujski, M., Delić, V., Jakovljević, N., Radić, I. Zbirka zadataka iz digitalne obrade signala 2014 Fakultet tehničkih nauka, Novi Sad Serbian language
Sečujski, M., Jakovljević, N., Delić, V. Digitalna obrada signala 2019 Fakultet tehničkih nauka, Novi Sad Serbian language
Milić, Lj., Dobrosavljević, Z., Ćertić, J. Uvod u digitalnu obradu signala 2015 Akademska misao, Beograd Serbian language
Sečujski, M., Jakovljević, N., Delić, V. Prezentacije sa predavanja i on-line vežbe preko web portala Katedre za telekomunikacije i obradu signala 2015 Interni materijal Serbian language
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Coloquium exam No No 20.00
Test Yes Yes 10.00
Written part of the exam - tasks and theory No Yes 70.00
Test Yes Yes 10.00
Test Yes Yes 10.00
Lecturers:

Asistent Stanojev Vuk

Assistant - Master

Practical classes

Asistent Kljajić Jovana

Assistant - Master

Laboratory classes
API Image

vanr. prof. dr Jakovljević Nikša

Associate Professor

Lectures

Asistent Stanojev Vuk

Assistant - Master

Laboratory classes

Asistent Kljajić Jovana

Assistant - Master

Practical classes

Faculty of Technical Sciences

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Contact:

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(+381) 21 6350 413

Fax : (+381) 21 458 133
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© 2024. Faculty of Technical Sciences.