OT3OS1 - Signal Processing 1

Course specification
Course title		Signal Processing 1
Acronym		OT3OS1
Study programme		Electrical Engineering and Computing
Module		Telecommunications and Information Technologies
Type of study		bachelor academic studies
Lecturer (for classes)		professor PhD Dragana Šumarac Pavlović professor PhD Jelena Ćertić
Lecturer/Associate (for practice)		professor PhD Jelena Ćertić
Lecturer/Associate (for OTC)		professor PhD Dragana Šumarac Pavlović professor PhD Jelena Ćertić professor PhD Goran Marković asst. professor PhD Miloš Bjelić
ESPB		6.0	Status	mandatory
Condition		Siganls and systems, Telecommunications 1
The goal		Objective of the course is to present basic signal processing techniques. The focus is on signal analysis in time and frequency domains, ideal and real system for digital processing of continuous-time signals, spectrum analysis and fundamental FIR and IIR filter design and realization.
The outcome		Student will be able to understand basic concept related to digital signal processing. They will learn basic techniques for spectrum analysis of digital signals. They will be trained to design basic types of FIR and IIR digital filters. They will be trained to use MATLAB (MATLAB clone) in solving simple problems of spectrum analysis and digital filter design and analysis.
Contents
Contents of lectures		Analysis of discrete signals in time and frequency domains, analysis of discrete systems by Fourier and Z transform, ideal and real system for digital processing of continuous-time signals, discrete Fourier Transform (DFT), Fast Fourier Transform (FFT), properties of linear time invariant systems, FIR and IIR filters design, digital filter realizations, introduction to multirate systems.
Contents of exercises		Software implementation in MATLAB
Literature
Lj. Milić, Z. Dobrosavljević:Uvod u obradu signala, Akademska misao, Beograd (Original title) Digital Signal processing: A Computer Based Approach, S. Mitra, Mc Graw Hill, 2006. (Original title) Digital Signal Processing: Principles, Algorithms, and Applications, J. Proakis and D. Manolakis, Prentice Hall, 1996. (Original title)
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
3	1	1
Methods of teaching		lectures, exercises, labaratory exercises, homeworks
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures		0	Test paper	50
Practical lessons		20	Oral examination	0
Projects		0
Colloquia		30
Seminars		0