MS1DSG - Digital Signal Processing
| Course specification | ||||
|---|---|---|---|---|
| Course title | Digital Signal Processing | |||
| Acronym | MS1DSG | |||
| Study programme | Electrical Engineering and Computing | |||
| Module | Electronics | |||
| Type of study | master academic studies | |||
| Lecturer (for classes) | ||||
| Lecturer/Associate (for practice) | ||||
| Lecturer/Associate (for OTC) | ||||
| ESPB | 6.0 | Status | elective | |
| Condition | none | |||
| The goal | To train students to analyze and design algorithms for digital signal processing. To train students to choose adequate structure of a circuit in order to satisfy specifications of typical systems for digital signal processing. To train students to implement digital signal processing algorithms in software or hardware. | |||
| The outcome | After this course students are able to understand and apply Discrete Fourier transform and digital filtering methods. | |||
| Contents | ||||
| Contents of lectures | Discrete Fourier transform (DFT) and efficient computation of DFT. Spectral analysis of signals. Design of systems with infinite impulse response. Design of systems with finite impulse response. Structures for realization of discrete systems with finite and infinite impulse response. The influence of finite wordlength to system characteristics. | |||
| Contents of exercises | Usage of the programing system MATLAB for spectral analysis and digital filter design. | |||
| Literature | ||||
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| Number of hours per week during the semester/trimester/year | ||||
| Lectures | Exercises | OTC | Study and Research | Other classes |
| 3 | 1 | 1 | ||
| Methods of teaching | Lectures with computer demonstrations. Exercises in computer laboratory. | |||
| Knowledge score (maximum points 100) | ||||
| Pre obligations | Points | Final exam | Points | |
| Activites during lectures | 0 | Test paper | 50 | |
| Practical lessons | 0 | Oral examination | 0 | |
| Projects | 0 | |||
| Colloquia | 50 | |||
| Seminars | 0 | |||