| Course title |
Hardware and Software Signal Processing |
| Acronym |
13E044HSOS |
| Study programme |
Electrical Engineering and Computing |
| Module |
Applied Mathematics, Audio and Video Communications, Biomedical and Environmental Engineering, Computer Engineering and Informatics, Electronics, Electronics and Digital Systems, Energy Efficiency, Microwave Engineering, Nanoelectronics and Photonics, Power Systems - Networks and Systems, Power Systems - Renewable Energy Sources, Power Systems - Substations and Power Equipment, Signals and Systems, Software Engineering, System Engineering and Radio Communications |
| Type of study |
bachelor academic studies,master academic studies |
| Lecturer (for classes) |
|
| Lecturer/Associate (for practice) |
|
| Lecturer/Associate (for OTC) |
|
| ESPB |
6.0 |
Status |
elective |
| Condition |
|
| The goal |
Study of algorithms for digital signal processing implemented in hardware and software. Introduction to advanced topics – multirate signal processing, imperfections in real systems, digital correction. Efficient hardware and software implementations. Overview of reconfigurable DSP systems. |
| The outcome |
Students will be able to:
- understand advantages of hardware and software algorithms for signal processing,
- understand trade-offs and limitations of hardware and software implementations,
- understand how to partition the signal processing algorithm into hardware and software,
- design a DSP system on their own. |
