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 …
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 !
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
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 …
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 …
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 …
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 …
We have a new preprint on Compressive K-Means. Read it on https://hal.inria.fr/hal-01386077 Download the code at http://sketchml.gforge.inria.fr/