Michaël Unser

EPFL STI SMT-GE
BM 1136 (Bâtiment BM)
Station 17
CH-1015 Lausanne

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

EPFL STI IMT LIB
BM 4136 (Bâtiment BM)
Station 17
CH-1015 Lausanne

Web site:  Web site:  https://bigwww.epfl.ch/

EPFL SB SMA-GE
MA A2 403 (Bâtiment MA)
Station 8
CH-1015 Lausanne

EPFL CIBM-SP
CH F0 622 (Bâtiment CH)
Station 6
CH-1015 Lausanne

Web site:  Web site:  https://www.cibm.ch/

EPFL SV SSV-GE
SG 1310.3 (Bâtiment SG)
Station 15
CH-1015 Lausanne

Web site:  Web site:  https://sv.epfl.ch/education

EPFL IMAGING
BM 4142 (Bâtiment BM)
Station 17
CH-1015 Lausanne

vCard
Administrative data

Fields of expertise

Image Processing Medical Imaging Biological Imaging Wavelets Splines Multiresolution

Teaching & PhD

Teaching

Microengineering

Mathematics

PhD Programs

Doctoral Program in Photonics

Doctoral Program in Electrical Engineering

Courses

Sparse stochastic processes

We cover the theory and applications of sparse stochastic processes (SSP). SSP are solutions of differential equations driven by non-Gaussian innovations. They admit a parsimonious representation in a wavelet basis and are relevant to coding, compressed sensing, and biomedical imaging.

Signals and systems I (for MT)

Introduction of the basic concepts and mathematical tools for the characterization of signals and for the analysis and design of linear systems (filters or transmission channels). Application of these techniques to signal processing and communications.

Signals and systems I (for SV)

Introduction of the basic concepts and mathematical tools for the analysis and characterization of signals, the design of processing algorithms, and the linear modeling of systems for students in the life sciences. Application of these techniques to signal processing and communications.

Signals and systems II (for MT)

This course is an introduction to the theory of discrete linear time invariant systems. Their properties and fundamental characteristics are discussed as well as the fundamental tools that are used to study and design them (Fourier transform, Z transform).

Signals and systems II (for SV)

This course is an introduction to the theory of discrete linear time invariant systems. Their properties and fundamental characteristics are discussed as well as the fundamental tools that are used to study and design them (Fourier transform, Z transform).