Course - Signal Processing - TFY4280
Signal Processing
About
About the course
Course content
Description and analysis of stochastic and random
signals, and measured signals with noise.
Excitation-response analysis of linear systems,
correlations and energy spectrum analysis. FFT (Fast Fourier Transform) applied for 1- and 2-dimensional signals (basic digital image analysis).
Learning outcome
An introduction to the processing and analysis of
experimental measurement signals and time series. Practical problem solving using Matlab.
Learning methods and activities
Lectures, assignments, computer laboratory exercises. The course will be given in English if students on the international master program in physics are attending the course. A re-sit examination may be changed from written to oral.
Compulsory assignments
- Laboratory exercises
Recommended previous knowledge
Basic physics, mathematics and statistics.
Course materials
"Signals and Systems" by Bernd Girod, Rudolf Rabenstein and Alexander Stenger. Lecture notes.
Credit reductions
| Course code | Reduction | From |
|---|---|---|
| SIF4076 | 7.5 sp |
Subject areas
- Physics
- Technological subjects