Number of hours
- Lectures 9.0
- Projects 0
- Tutorials 9.0
- Internship 0
- Laboratory works 14.0
- Written tests 0
ECTS
ECTS 2.0
Goal(s)
OBJECTIVES:
Many acquisitions (in telecommunication, geophysics, remote sensing, non invasive control etc.), are nowadays carried out starting from antenna which can load single sensors or multicomponent sensors. Processing of such data require specific processing as multidimensional filtering and array processing. From varied examples, we present these different multidimensional filtering and analysis.
LEARNING METHOD(S):
Language: French / English
Working session: lectures,
Personal work: Preparation
Content(s)
The fundamental: Source, Sensors, Antenna,
Enhancement of RSB: median Filter, Tau-p Filter, FK filter, Beamforming, Wiener filter,
Source separation: by SVD, 3DSVD, eigenvalues decomposition and all extensions to multicomponent case and broadband case. High resolution methods.
Machine Learning in Geosciences
Lab works : Application on sources and waves separation individual labworks
Prerequisites
Basis of Signal Processing, Spectral analysis, Random signal.
LEVEL:
Advanced course. This course is also open to the students of Master.
Test
EXAMINATION :
Continuous control 40%
Written examination (2H) 60%
Contrôle Continu : 40% Examen Ecrit : 60%
Examen en présentiel
Session 1 et 2 identique
Additional Information
Course list
Curriculum->Engineering degree->Semester 9
Curriculum->Double-Diploma Engineer/Master->Semester 9
Bibliography
Zoltowski , Advances in Spectrum Analysis and Array Processing, Vol. III, Prentice-Hall, 1994
Mars J, Mari J-L, Glangeaud F. et Lacoume J. L., Traitement du signal pour géologues et géophysiciens (Vol.3). Editions Technip, 2005.
Yilmaz O, Seismic Signal Processing, SEG Editors, 2002