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Our engineering & Master degrees
Our engineering & Master degrees

> Studies

Data science geo-sciences (SICOM-SIGMA S9) - 5PMSDSG0

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  • Number of hours

    • Lectures : 7.0
    • Tutorials : 7.0
    • Laboratory works : 10.0
    • Projects : 0
    • Internship : 0
    ECTS : 2.0

Goals

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

Contact Jerome MARS

Content

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.

Tests

EXAMINATION :
Continuous control 40%
Written examination (2H) 60%



Contrôle Continu : 40% Examen Ecrit : 60%
Examen en présentiel

Session 1 et 2 identique

Additional Information

Curriculum->Double-Diploma Engineer/Master->Semester 9
Curriculum->Engineering degree->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

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Date of update July 29, 2020

Université Grenoble Alpes