Esisar rubrique Formation 2022

Signal processing - 3AMAC360

  • Number of hours

    • Lectures 12.0
    • Projects -
    • Tutorials 12.0
    • Internship -
    • Laboratory works 6.0
    • Written tests -


    ECTS 2.5


Skills to know at the end of the class:

  • Basic understanding of signal theory and signal processing
  • Ability to design and to characterize linear time invariant systems and continuous and discreet signals
  • Ability to implement basic methods of processing like spectral analysis, sampling, filtering, correlation.




1. Introduction to signal processing

  • Issues, signals classification, practical examples of signal processing

2. Filtering and spectrum analysis

  • Frequency filters and apodization

3. Sampling

  • Shannon theorem
  • Limits in practice and anti-aliasing filter

4. Introduction to digital filtering

  • Z transform
  • Finite impulse filters (FIR)
  • Infinite impulse filters (IIR)

Session 1: Introduction to Matlab/Simulink
Session 2: Spectrum observation and digital filter design


Exam procedures : no calculators, no documents

TP : practical work exam, 1h30
E1 : final exam session 1, written work, 1h30

E2 : exam session 2, 1 written work 1h30


The course exists in the following branches:

see the course schedule for 2022-2023

Additional Information

Course ID : 3AMAC360
Course language(s): FR

The course is attached to the following structures:

You can find this course among all other courses.


Bellanger - Traitement numérique du signal - Dunod
Charbit - Eléments de théorie du signal : les signaux aléatoires - Ellipses
De Coulon - Traitement et théorie des signaux - Presses polytechniques romandes
Delmas - Eléments de théorie du signal : les signaux déterministes - Ellipses
Duroc - L'essentiel en théorie et traitement du signal - Ellipses
Max & Lacoume - Méthodes et techniques de traitement du signal - Dunod
Olivier Rioul - Théorie des probabilités - Hermés