OS3DOS - Digital Signal Processing

Course specification
Course title Digital Signal Processing
Acronym OS3DOS
Study programme Electrical Engineering and Computing
Module Signals and Systems
Type of study bachelor academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
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
1. Lectures scripts, Veljko Papic, 2011
2. Digital signal processing, Sanjit K. Mitra, McGraw-Hill, 2001 (Original title)
3. Signals, Systems, and Transforms, Charles Phillips, John Paar, Eve Riskih, Prentice Hall, 2003 (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 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 0
Colloquia 30
Seminars 0