13E053DOS - Digital Signal Processing

Course specification
Course title		Digital Signal Processing
Acronym		13E053DOS
Study programme		Electrical Engineering and Computing
Module		Signals and Systems
Type of study		bachelor academic studies
Lecturer (for classes)		professor PhD Veljko Papić
Lecturer/Associate (for practice)		Maša Tiosavljević, electrical and computer engineer
Lecturer/Associate (for OTC)		Maša Tiosavljević, electrical and computer engineer
ESPB		6.0	Status	mandatory
Condition		none
The goal		Understanding basic tools for digital signal processing in the transform-domain, Presenting LTI discrete-time systems structures and their properties, Understanding and applying digital filter design methods, Providing students with the ability to use computers for signal analysis and filter design.
The outcome		After passing exam, student will have the basic knowledge from the field of digital signal processing (sampling theorem, Fourier transform, discrete Fourier transform, infinite and finite impulse response filter design) and the ability to use Matlab for solving different kind of topic problems.
Contents
Contents of lectures		Discrete Fourier Series. Fourier transform. Sampling theorem. Convolution. Zed and Laplace transform. Design of finite and infinite impulse response filters. Fast Fourier transform.
Contents of exercises		Students have the obligation to solve individually three practical problems using Matlab, regarding discrete Fourier transform and convolution, IIR (infinite impulse response) filter design and FIR (infinite impulse response) filter design
Literature
Lectures scripts, Veljko Papic, 2011 Digital signal processing, Sanjit K. Mitra, McGraw-Hill, 2001 Signals, Systems, and Transforms, Charles Phillips, John Paar, Eve Riskih, Prentice Hall, 2003
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
3	1	1
Methods of teaching		45 classes of theoretical lectures + 15 classes of practical lectures + 15 classes of solving problems on computer, meaning using Matlab for simulation of specific signals and systems. All together 65 hours of independent learning, 3x5 hours for solving homework problems and 50 hours for preparation of final exam.
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures		0	Test paper	0
Practical lessons		15	Oral examination	55
Projects
Colloquia		30
Seminars		0