| Course title |
Digital Signal Processors - Laboratory |
| Acronym |
26M013PDS |
| Study programme |
Electrical Engineering and Computing |
| Module |
Applied Mathematics, Audio and Video Technologies, Biomedical and Nuclear Engineering, Computer Engineering and Informatics, Electronics and Digital Systems, Energy Efficiency, Information and Communication Technologies, 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 |
| Type of study |
master academic studies |
| Lecturer (for classes) |
|
| Lecturer/Associate (for practice) |
|
| Lecturer/Associate (for OTC) |
|
| ESPB |
3.0 |
Status |
elective |
| Condition |
|
| The goal |
Practical deployment of control algorithms on DSP-based platforms. A comprehensive overview of hardware and software implementation aspects. Harvard architectures. Utilization of code generation tools and simulators. Verification procedures, with a focus on code reliability and thorough documentation. |
| The outcome |
Tools for developing and testing code. Use of simulators. Implementation on a central processing unit with fixed- and floating-point arithmetic. Q-format representation. Programming characteristic signal processing algorithms in Assembly. Code Composer Studio. |
