Number of hours
- Lectures 9.0
- Projects -
- Tutorials 9.0
- Internship -
- Laboratory works 9.0
- Written tests -
ECTS
ECTS 1.5
Goal(s)
At the end of the class, the student will be able to solve simple problem on statistical signal processing like the quantification of a random signal, the filtering, the calculus of the signal to noise ratio of a transmission.
The student will also be able to evaluate and analyze the characteristics of a signal and a random variable like the DC component, the power, the energy, etc.
Responsible(s)
Romain SIRAGUSA
Content(s)
1. Basics on probabilistic theory
2. Definition of a system, a signal and a random variable
3. Temporal characteristics of a continuous and a discrete random signals
- DC component, power, autocorrelation
4. Statistical characteristique of a random variable - moment, variance, repartition function, density
5. Characteristics of a system - stationarity, ergodism
6. Noise : mathematical formalism
7. Random signal filtering
basics on signal processing, electronics, mathematics : statistics, complex,
Test
moyenne : mean of the course
Exam : examen
TP : lab
Calendar
The course exists in the following branches:
- Curriculum - EIS (Apprenticeship) - App - Semester 7
Additional Information
Course ID : 4AMAC469
Course language(s): 
The course is attached to the following structures:
You can find this course among all other courses.
Bibliography
[1] Charbit, "Eléments de théorie du signal : les signaux aléatoires", Ellipses.
[2] Delmas, "Eléments de théorie du signal : les signaux déterministes", Ellipses
[3] Max, "Méthodes et techniques de traitement du signal", Masson.
[4] Bellanger, "Traitement numérique du signal", Masson.
[5] De Coulon, "Théorie et traitement des signaux", Dunod.
[6] Kunt, "Traitement numérique des signaux", Dunod.
[7] Mannevielle-Esqieu, "Théorie du signal et composants", Dunod.
French State controlled diploma conferring a Master's degree
What is a grande école ?
French engineering curriculum
