Oct 02

Luc Le Magoarou receives the Paul Caseau Ph.D. Award

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.

Sep 05

Code release: FAuST 1.1 for Approximate Fast Graph Fourier Transforms.

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>

Jul 28

Young Researcher Science & Music Award : call for participation

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

Jun 16

Nicolas Keriven receives SPARS 2017 Best Student Paper Award

Nicolas Keriven has been awarded the Best Student Paper Award at SPARS 2017 for our two-pages abstract:

N. Keriven, R. Gribonval, G. Blanchard, Y. Traonmilin. Random Moments for Sketched Mixture Learning

Contratulations to Nicolas !

May 24

Luc Le Magoarou receives a special mention of the AFRIF2017 Ph.D. Award

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

May 04

Game of Drones: localizing a drone with audio (teaser video)

Apr 28

World leading CEDAR Audio ships improved audio desaturation based on PANAMA’s Sparse Audio Declipper technology

The new audio desaturation module of CEDAR Audio, world-leader provider of professional audio restoration solutions,  is based on further developments of PANAMA’s Sparse Audio Declipper.

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.

Apr 27

Release: A-SPADE, the Sparse Audio Declipper

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.

You can listen to sound examples or try it on your own files in your web browser using A-SPADE’s online implementation on A||GO, Inria’s web platform for technology demonstration.

Apr 27

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.

Apr 25

2017 EURASIP Best Paper Award

Our joint paper published in EURASIP Journal on Advances in Signal Processing has been awarded a 2017 EURASIP best paper award

Universal and efficient compressed sensing by spread spectrum and application to realistic Fourier imaging techniques
Gilles Puy, Pierre Vandergheynst, Rémi Gribonval and Yves Wiaux

The award ceremony will take place at EUSIPCO 2017 in Greece. For more information see the EURASIP newsletter or the web site of the  EURASIP Journal on Advances in Signal Processing.