19E034OS2 - Signal Processing 2

Course specification
Course title		Signal Processing 2
Acronym		19E034OS2
Study programme		Electrical Engineering and Computing
Module
Type of study		bachelor academic studies
Lecturer (for classes)		professor PhD Jelena Ćertić asst. professor PhD Miloš Bjelić
Lecturer/Associate (for practice)		professor PhD Jelena Ćertić asst. professor PhD Miloš Bjelić
Lecturer/Associate (for OTC)		professor PhD Jelena Ćertić asst. professor PhD Miloš Bjelić MA Tatjana Miljković, electrical and computer engineer professor PhD Goran Marković
ESPB		6.0	Status	mandatory
Condition
The goal		Objective of the course is to teach students advanced signal processing techniques related to telecommunications and audios systems. The focus is on real-time frequency analysis, random signal analysis in time and frequency domains, multirate systems, adaptive filters and non-standard filter structures.
The outcome		Students will be able to: -apply advanced DSP techniques in time and frequency domains suitable for solving practical problems -design simple multirate systems and digital filter banks -use MATLAB (MATLAB clone) in solving problems in telecommunications and audio systems -integrate theoretical concepts into the practical systems.
Contents
URL to the subject page		http://telit.etf.rs/kurs/obrada-signala-2/
Contents of lectures		Real-time spectrum analysis; discrete random signals, finite word-length effects; basic concepts of hardware platforms DSP processors and FPGA chips; multirate signal processing; digital filter banks; variable filters; digital analytical signals and Hilbert transformers; adaptive filters; analysis and processing in MATLAB (MATLAB clone) and dedicated DSP hardware.
Contents of exercises		Analysis and synthesis of advanced signal processing algorithms in MATLAB (MATLAB clone) environment.
Literature
Lj. Milić: Multirate Filtering for Digital Signal Processing, IGI global, 2009 (Original title) S. Mitra: Digital Signal processing: A Computer Based Approach, Mc Graw Hill, 2006 (Original title) J. Ćertić, Lj. Milić: Selected topics in digital signal processing - lecture notes
Number of hours per week during the semester/trimester/year
Lectures	Exercises	OTC	Study and Research	Other classes
2	2	1
Methods of teaching		lectures, exercises, laboratory exercises, homework
Knowledge score (maximum points 100)
Pre obligations		Points	Final exam	Points
Activites during lectures			Test paper
Practical lessons			Oral examination	30
Projects		30
Colloquia		40
Seminars