13M031SVB - Multirate Systems

Course specification
Course title Multirate Systems
Acronym 13M031SVB
Study programme Electrical Engineering and Computing
Type of study master academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
    ESPB 6.0 Status elective
    The goal Objective of the course is to teach students principles of the multirate signal processing. The focus is on algorithms and realization structures of the multirate systems. Goal is to analyze applications related to telecommunications and audio signal processing and to develop software that solves typical practical problems.
    The outcome Student will be able to: -understand basic and advanced concept related to multirate signal processing -develop MATLAB (MATLAB clone) programs that simulate multirate systems -apply multirate techniques in solving problems related to telecommunications and audio signal processing and implement solutions
    URL to the subject page
    Contents of lectures Basics of multirate systems, downsampling, upsampling, decimation, interpolation, filters in multirate systems (FIR IIR); sampling rate conversion by a fractional factor; sampling rate conversion by arbitrary factor; multirate techniques in filter design; digital filter banks; perfect and near perfect reconstruction banks; applications of multirate systems in telecommunication and audio systems.
    Contents of exercises Analysis and synthesis of the multirate filters and simulation of multirate systems in MATLAB (MATLAB clone).
    1. Lj. Milić, Multirate Filtering for Digital Signal Processing: MATLAB Applications, IGI Global, 2009 (Original title)
    2. G. Dolecek, Multirate Systems, Design and Application, Idea Group Publishing, 2002. (Original title)
    3. N. J. Fliege, Multirate Digital Signal Processing: Multirate Systems - Filter Banks - Wavelets, Wiley, 2000. (Original title)
    Number of hours per week during the semester/trimester/year
    Lectures Exercises OTC Study and Research Other classes
    3 1
    Methods of teaching lectures, exercises, project
    Knowledge score (maximum points 100)
    Pre obligations Points Final exam Points
    Activites during lectures 0 Test paper 30
    Practical lessons 0 Oral examination 0
    Projects 70
    Colloquia 0
    Seminars 0