Signal Processing
Information
Teacher coordinator | Clément Chatelain |
Teacher(s) | Clément Chatelain |
Language | French |
Credits | 4.5 |
Teaching | Lectures : 21h Exercises : 42h |
Web site | https://moodle.insa-rouen.fr/course/view.php?id=155 |
Aim and objective
Introduce to the main basics of signal processing: classical theoretical methods such as Fourier Transform and Filtering for both analog and discrete time signals. Matlab Applications.
Outcome learning
- INSA reference data :
- Faire une analyse fréquentielle des systèmes et des signaux [3P]
- Maîtriser l'asservissement d'un système linéaire [2P]
- Maîtriser les outils mathématiques de base [3P]
- Maîtriser un langage de haut niveau [3P]
- CNISF reference data :
- H30P [1P]
Course description
- Introduction to signal processing
- Fourier Transform
- Linear time-invariant systems
- Analog filters
- Signal digitalization
- Discrete Fourier transform and FFT
- Z-transform
- Digital filter design: FIR and IIR filters
Prerequisites
- basic math skills
- Matlab programmation
Bibliography
- Thomas Y, Signaux et systèmes linéaires, Masson, 1995,
- Refregier P, Theorie du signal, Masson, 1993
Assessment
- Mid-semester exam: 30%,
- Final exam: 50%,
- Practical exam: 20%