Remi Gribonval has been elevated to the grade of IEEE Fellow by the IEEE Board of Directors for contributions to the theory and applications of sparse signal processing.
Sep 20
Spotlight at NIPS ’13
“Reconciling ‘priors’ & ‘priors’ without prejudice?” (R. Gribonval and P. Machart) got accepted (with a spotlight talk) at NIPS ’13.
You can find an extended research report on HAL for more details.
Jun 07
The slides of the workshop on sparsity and learning are available online
More information here
May 31
Two positions in Medical Imaging, Machine Learning and Compressive Sensing
The VISAGES and PANAMA teams at Inria Rennes are seeking highly qualified candidates with background in applied mathematics, machine learning, and image processing for a Ph.D. and a Postdoc research project in neuro-imaging.
Details on our Job Offers page.
May 21
Release of Matlab code for Cosparse Approximation and Learning
- The paper
Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Mike E. Davies. Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling. IEEE Transactions on Signal Processing, IEEE, 2013, 61 (9), pp. 2341-2355. <http://dx.doi.org/10.1109/TSP.2013.2250968>
describes an approach for Constrained Analysis Operator Learning. The code is now available here.
- In the paper
Raja Giryes, Sangnam Nam, Michael Elad, Rémi Gribonval, Mike E. Davies. Greedy-Like Algorithms for the Cosparse Analysis Model. to appear in Linear Algebra and Applications, 2013
several algorithms for Cosparse Approximation are described (Analysis IHT/HTP/CoSAMP/SP). The code is here
Learn more about cosparsity and learning analysis operators
May 16
Release of DEMAND: Diverse Environments Multichannel Acoustic Noise Database
We are happy to announce the release of DEMAND, a set of real-world
16-channel noise recordings designed for the evaluation of microphone
array processing techniques.
http://www.irisa.fr/metiss/DEMAND/
1.5 h of noise data were recorded in 18 different indoor and outdoor
environments and are available under the terms of the Creative Commons
Attribution-ShareAlike License.
Joachim Thiemann (CNRS – IRISA)
Nobutaka Ito (University of Tokyo)
Emmanuel Vincent (Inria Nancy – Grand Est)
May 09
MPTK 0.7.0 has been released
* New pyMPTK wrapper, enables direct use of MPTK within Python
* Enabled GPD with the Dirac, Constant and Nyquist blocks
* Anywave block now working from command-line mpd and mpr
* Improved XML parsing of books (note: the API to use for writing new plugins changes as a result of this; and MPTK books are now written with an outer <mptkbook> tag surrounding book and dict)
* Slight Matlab API change: second “dict” arg now needed for reconstruct(book, dict)
Download here.
Apr 19
Nearfield ACoustic HOlography with Sparse Regularization (NACHOS) release
NACHOS is now available for download!
Nearfield ACoustic HOlography with Sparse Regularization (NACHOS) is a software that anyone can download and use to reproduce the results of the following paper:
Gilles Chardon, Laurent Daudet, Antoine Peillot, François Ollivier, Nancy Bertin, Rémi Gribonval. Nearfield Acoustic Holography using sparsity and compressive sampling principles. Journal of the Acoustical Society of America, 2012.
The software consists in Matlab source code and documentation. It comes along with NACHOSDB, the database which it processes (data will be automatically downloaded by the software).
More details and download link on:
Apr 15
PANAMA at SPARS 2013
Several contributions from the team to the SPARS 2013 workhop (July 8-11, 2013. EPFL, Lausanne) have been accepted:
“Blind Calibration for Phase Shifts in Compressive Systems“, C. Bilen, G. Puy, R. Gribonval and L. Daudet
“Compressive Gaussian Mixture Estimation“, A. Bourrier, R. Gribonval and P. Pérez
“Generalized Null Space and Restricted Isometry Properties“, T. Peleg, R. Gribonval and M. Davies
“Unrecoverable subsets by OMP and Basis Pursuit“, C. Soussen, C. Herzet, J. Idier and R. Gribonval
“Projection onto the k-Cosparse Set is NP-Hard“, A. Tillmann, R. Gribonval and M. Pfetsch
Feb 14
Thematic seminar on localization, separation and tracking of audio sources
In the context of IRISA D5 (Signal, Image & Robotics) department’s scientific seminars, we are pleased to invite you to a thematic seminar on localization, separation and tracking of audio sources, on February, 19th and 20th 2013.
Audio source separation consists in extracting individual contributions of different audio sources (speakers, musical instruments…) to a mixture. It is now mature enough to envision applicative transfer. Related research issues are not all solved yet, especially in real-world context : reverberant environments, diffuse or moving sources… Source separation is deeply related to the problems of locating and tracking sources, which are generally a front-end to source separation systems.
This two-day workshop aims at giving a tutorial overview of source localization and separation scientific background, as well as advanced presentations on some recent approaches to these problems in different contexts.
The seminar is open to academic and industrial experts, as well as Ph.D candidates, postdoctorate researchers and colleagues from neighboring research fields who wish to learn the basics of source separation, or improve their knowledge of the domain and of its current theoretical and practical challenges. The program is labeled « complément scientifique » by Ecole Doctorale Matisse.
Presentations will be given in English.
Please register by mail to stephanie.lemaile@irisa.fr.
Registration is free but mandatory.
Full announcement and detailed program can be downloaded here: JTD52013
