13E053DOSR - Digital Signal Processing
| Course specification | ||||
|---|---|---|---|---|
| Course title | Digital Signal Processing | |||
| Acronym | 13E053DOSR | |||
| Study programme | Electrical Engineering and Computing | |||
| Module | Computer Engineering and Informatics | |||
| Type of study | bachelor academic studies | |||
| Lecturer (for classes) | ||||
| Lecturer/Associate (for practice) | ||||
| Lecturer/Associate (for OTC) | ||||
| ESPB | 6.0 | Status | elective | |
| 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 | ||||
| URL to the subject page | http://automatika.etf.bg.edu.rs/sr/13e053dosr | |||
| 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 | |||
| Number of hours per week during the semester/trimester/year | ||||
| Lectures | Exercises | OTC | Study and Research | Other classes |
| 2 | 2 | 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 | |||