Information sur le poste à pourvoir et modalités de candidature : Ingénieur scientifique contractuel (H/F) / Développement Python-Matlab-C++
EDF and the French Academy of Technology awarded the 2017 Paul Caseau Ph.D. prize to Luc Le Magoarou for his work on “Efficient Matrices for signal processing and machine learning” conducted at ’IRISA (PANAMA team) under the supervision of Rémi Gribonval.
FAµST is a toolbox useful to decompose a given dense matrix into a product of sparse matrices in order to reduce its computational complexity (both for storage and manipulation). Such matrices can be used to speed up iterative algorithms commonly used for solving high dimensional linear inverse problems.
This release (FAuST Matlab version 1.1) includes code to reproduce Graph Signal Processing experiments (Approximate Fast Graph Fourier Transforms) from the paper
- Le Magoarou L., Gribonval R. and Tremblay N., “Approximate fast graph Fourier transforms via multi-layer sparse approximations”, IEEE Transactions on Signal and Information Processing over Networks,2017. <https://hal.inria.fr/hal-01416110>
Applications to the seventh “Young Researcher Science & Music Award” can be sent from July, 31th to September, 15th. The award ceremony will take place during the “Journée Science et Musique“, on October, 14th, 2017. You will find the full call for participation below.
(Please note that applications must be sent in French, and that candidates should be able to deliver a 30 minute speech in French if selected.)
Download : JSM2017-PrixJeuneChercheur
AFRIF (the French Association for Shape Recognition and Interpretation) awarded a special mention of its annual Ph.D. prize to Luc Le Magoarou for his work on “Efficient Matrices for signal processing and machine learning” conducted at ’IRISA (PANAMA team) under the supervision of Rémi Gribonval. http://www.afrif.asso.fr/?page_id=54
World leading CEDAR Audio ships improved audio desaturation based on PANAMA’s Sparse Audio Declipper technology
Click here to learn more on the Sparse Audio Declipper: read the papers where it is described and tested; download the corresponding Matlab code; listen to audio examples; test it on your own files from your browser.
Ever faced saturated audio recordings ? Try A-SPADE, the Sparse Audio Declipper.
Clipping, also known as saturation, is a comon phenomenon leading to sometimes seriously distorted audio recordings. Declipping consists in performing the inverse process, to restore saturated audio recordings and improve their quality. A-SPADE is a declipping algorithm developed by PANAMA. It is based on on the expression of declipping as a linear inverse problem and the use of analysis sparse (aka cosparse) regularization in the time-frequency domain.
Code release: PHYSALIS (Physics-Driven Cosparse Analysis) and CBC4CS (Convex Blind Calibration for Compressed Sensing)
The PHYSALIS Matlab code allows to reproduce the experiments from a series of papers from our group on cosparse (=analysis flavor of sparse) source localization, for both acoustic inverse problems and EEG inverse problems. It is available here
The CBC4CS code allows to reproduce convex blind calibration experiments in the context of compressive sensing. It is available here.