Number of hours
- Lectures 12.0
- Projects -
- Tutorials 12.0
- Internship -
- Laboratory works 6.0
- Written tests -
ECTS
ECTS 2.5
Goal(s)
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.
Responsible(s)
Romain SIRAGUSA
Content(s)
Chapters
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)
Laboratory
Session 1: Introduction to Matlab/Simulink
Session 2: Spectrum observation and digital filter design
Test
Exam procedures : no calculators, no documents
TP : practical work exam, 1h30
E1 : final exam session 1, written work, 1h30
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E2 : exam session 2, 1 written work 1h30
Calendar
The course exists in the following branches:
- Curriculum - Network and computer science - Semester 5
- Curriculum - EIS - Semester 5
Additional Information
Course ID : 3AMAC360
Course language(s): 
The course is attached to the following structures:
You can find this course among all other courses.
Bibliography
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
What is a grande école ?
French engineering curriculum
