Jean-Marc Vesin

jean-marc.vesin@epfl.ch +41 21 693 39 96

EPFL SCI STI JMV
ELE 141 (Bâtiment ELE)
Station 11
CH-1015 Lausanne

+41 21 693 39 96
+41 21 693 26 01
Local:   ELE 141
EPFL > STI > IEM > SCI-STI-JMV

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EPFL STI SEL-GE
ELB 110 (Bâtiment ELB)
Station 11
CH-1015 Lausanne

+41 21 693 39 96
Local:   ELB 110
EPFL > STI > STI-SEL > SEL-ENS

EPFL AVP-PGE EDEE-ENS
ELB 112 (Bâtiment ELB)
Station 11
CH-1015 Lausanne

+41 21 693 39 96
Local:   ELE 141
EPFL > VPA > VPA-AVP-PGE > AVP-PGE-EDOC > EDEE-ENS

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Données administratives

Enseignement & Phd

Enseignement

Electrical and Electronics Engineering

Programmes doctoraux

Doctoral Program in Electrical Engineering

Doctorants

Jeanningros Loïc François Andrée, Mc Cann Anna Mary,

A dirigé les thèses EPFL de

Bertschi Mattia , Buttu Andréa , Dang Lam , Fallet Sibylle , Hoffmann Ulrich , Ihara Zenichi , Jousset Florian , Lemay Mathieu , Mirmohamadsadeghi Leila , Prudat Yann , Schleusing Olaf , Uldry Laurent Renaud , Van Zaen Jérôme Sébastien , Walckiers Grégoire , Yazdani Ashkan , Yazdani Sasan ,

Cours

Biomedical signal processing

Le but de ce cours est d'introduire les techniques les plus couramment utilisées pour l'analyse des signaux biomédicaux, et de présenter des exemples concrets de leur application à des fins diagnostiques.

Nonlinear signal modeling and prediction

1. Introduction
2. Summary of linear AR and ARMA modeling
3. Nonlinear AR and ARMA modeling, polynomial models and their estimation
4. Specific nonlinear models (threshold AR, ...)
5. Neural network based modeling and prediction
6. Model selection
7. Chaos theory and applications
8. Kernel-based approaches
9. Laboratory exercises: application of nonlinea