Signal Processing

Information

Teacher coordinatorClément Chatelain
Teacher(s)Clément Chatelain
LanguageFrench
Credits4.5
TeachingLectures : 21h Exercises : 42h
Web sitehttps://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]
1 - Notion, 2 - Concept, 3 - Application, I - fully, P - incomplete

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%