Number of hours
- Lectures 14.0
- Projects 0
- Tutorials 4.0
- Internship 0
- Laboratory works 0
ECTS
ECTS 1.0
Goal(s)
This course is intended for engineering students in order to offer both a theoretical basis and technical tools of spectral analysis for random signals. This course constitutes a basis for many applications in communications and digital signal processing.
Contact Pascal PERRIERContent(s)
This course is intended for engineering students in order to offer both a theoretical basis and technical tools of spectral analysis for random signals. This course constitutes a basis for many applications in communications and digital signal processing.
- Basic notion of the estimation theory
- Maximum likelihood estimation
- Spectral properties of random signals
- Mean value estimation and correlation estimation
- Power spectral density estimation
- Non-parametric methods (correlogram and periodogram)
- Parametric methods for spectral estimation (AR model)
Prerequisites
Basis of signal Processing (First year)
Random signal processing
Test
Final exam 2h
session 1 condition normale :
note de l'examen.
session 1 condition confinement :
note du devoir maison.
session 2 condition normale :
note de l'examen.
session 2 condition confinement :
note du devoir maison.
Additional Information
Course list
Curriculum->Engineering degree->Semester 8
Bibliography
L. Mapple Jr : Digital spectral analysis with applications. Prentice-Hall Inc., New-Jersey, 1987.