Head : Marie CHABERT
The research activities of the “Signal & Communications” group are currently divided into two main areas:
- Statistical signal & image processing: analysis and representation, inverse problems and computational imaging, machine learning
- Signal for communications: waveform design, digital receivers, communication system modeling and performance.
Statistical signal & image processing
Prominent research activities in statistical signal & image processing conducted by the SC group are currently dedicated to the following research topics:
- Signal & image analysis and representation
- non-uniform sampling and reconstruction
- spectral analysis: empirical mode decomposition, AM/FM decomposition
- time-frequency analysis: reassignment and synchrosqueezing
- multiscale, multi-resolution and multifractal analysis: scale invariance, self-similarity, local regularity, texture analysis
- Inverse problems and computational imaging
- restoration: denoising, deconvolution
- single-image super-resolution
- fusion of multi-band images (e.g., multi- and hyperspectral pansharpening)
- Machine learning for signal & image processing
- blind source separation: independent component analysis (ICA), nonnegative matrix factorization (NMF)
- representation learning: dictionary learning, subspace learning, adaptive and fast transforms
- structured modeling: sparse, anti-sparse and low-rank models
These different problems are tackled using various methodological and theoretical tools such as:
- Bayesian modeling and computation
- (hierarchical) Bayesian inference
- latent variable models, hidden Markov models, Markov random fields
- Bayesian nonparametrics: Beta, Dirichlet and Gaussian processes
- Markov chain Monte Carlo (MCMC) algorithms: Metropolis-Hastings, (partially collapsed) Gibbs samplers, reversible jump algorithms, Hamiltonian Monte Carlo, proximal-MALA
- approximate Bayesian computations (ABC), variational Bayesian methods
- Deterministic and stochastic optimization
- splitting and proximal algorithms
- augmented Lagrangian methods
- majorization-minimization algorithms
- Monte Carlo integrations and approximations
These research activities are carried out in various applicative fields, namely:
- Geoscience and remote sensing
- hyperspectral imaging: spectral unmixing, nonlinearity and variability detections, segmentation/classification, fusion (e.g., pansharpening)
- multi-temporal image analysis: change detection, unmixing
- conventional and delay/Doppler altimetry: modeling and parameter estimation
- Biomedical imaging and engineering
- segmentation and unmixing of 3D+t TEP images
- ultrasound imaging: fast acquisition and compressed sensing, segmentation/classification
- P- and T-waves detection and delineation in ECG
- source localization in EEG
- hemodynamic brain parcellation in fMRI
- multiscale and multifractal analysis of biomedical signals (fMRI, ECG)
- gene expression factor analysis: identification of disease signature (e.g., influenza)
- Diagnosis and condition monitoring
- detection and diagnosis of mechanical and bearing faults in electrical machines
- processing of anemometric and inertial data in flight control systems
- aging modeling for prognosis in electrical engineering
- Audio and music processing
- music signal decomposition
- multichannel source separation
- audio restoration
- music chord recognition
- Microscopy and spectroscopy
- EELS spectrum-image analysis
- spectrochemical analysis
- magnetic resonance force microscopy (MRFM) imagery
- Art investigation and cultural heritage
- audio-guided video synthesis for modern art
- texture analysis and classification of photographic prints
Signal for digital communications
Research activities in digital communications and systems addressed by the SC group are focused on signal processing, modeling and coding for satellite and wireless communication systems.
These methods are applied to waveform desgin, coding, multi-user communications/multiple access/cooperative communications, synchronization and equalization.
- Modulation and coding
- block-based circular faster-than-Nyquist waveform design
- faster-than-Nyquist modulation in the non linear regime
- single carrier spatial modulation schemes in the frequency domain for a PAPR/performance trade-off
- sparse graph-based coded continuous phase modulations (CPM) in coherent and non coherent channels
- BICM schemes for nonlinear code-shift keying modulation
- Structured coding schemes for non-ergodic channels
- compressed sensing approach for indoor and outdoor localization of users over multipath large scale MIMO channels
- Spatial coupling for serially concatenated systems
- Waveform design and coding for IoT (BPSK, code-shift keying modulation, Chirp Spreaded modulation, FSK based…)
- MIMO Radar
- Multiple access and random access
- Methods for Random Access: MARSALA, MUSCA and SPOTiT schemes.
- IoT by satellite
- Identification, equalization and detection
- iterative schemes for sparse graph-based coded continuous phase modulation (CPM)
- iterative detection of bit-interleaved code modulation system over frequency selectif channels
- low-complexity frequency domain detection and synchronization methods
- unrolled deep expectation-propagation (EP) detection
- expectation/Belief-propagation (EP/BP) based detection schemes
- detection in nonlinear channels using mutual information optimized neural networks (NN)
- detection in nonlinear channels using linear low complexity MAP based or MMSE based detector for Nyquist and Faster than Nyquist
- classification of modulations
- Multicarrier systems and filterbanks
- orthogonal frequency-division multiplexing (OFDM)
- multicarrier code division multiple access (CDMA)
- Cooperative communications
- stochastic geometry for interference modeling
The applications, in the general frameworks of wireless and satellite communications, are mainly related to:
- Satellite communications
- telemetry coded waveforms for the next Ariane spacecraft generation
- digital broadcasting
- IoT by satellite using Low Earth Orbit (LEO) constellations
- Wireless communications
- unmanned aerial vehicle (UAV)
- UAV-based mobile targets tracking
- generation and management of adaptive UAV trajectories
- internet-of-things (IoT)
- ad-hoc networks
- vehicular networks
- Navigation
- global navigation satellite system (GNSS)
skills
personnel of the team SC
- Boucheret Marie-LaureProfessor- INPT
- Chabert Marie (responsable équipe)Professor- INPT
- Coulon MartialProfessor- INPT
- Dobigeon NicolasProfessor- INPT
- Escrig BenoîtAssociate Professor- INPT
- Févotte CédricSenior Researcher- CNRS
- Mailhes CorinneProfessor- INPT
- Oberlin ThomasAssociate Professor- INPT
- Poulliat CharlyProfessor- INPT
- Soubies EmmanuelResearch Scientist- CNRS
- Thomas NathalieAssociate Professor- INPT
- Alves De Oliveira ViniciusPhD Student IRIT- INPT
- Belmekki Baha Eddine YoucefPhD Student IRIT- INPT
- Castera CamillePhD Student IRIT- CNRS
- Dervin MathieuAssociate Members- INPT
- Elloumi MounaPhD Student IRIT (joint direction RMESS)- INPT
- Filstroff LouisPhD Student IRIT- CNRS
- Gouvert OlivierPhD Student IRIT- INPT
- Grivel JérômeResearch Engineer
- Guilloteau ClairePhD Student IRIT- INPT
- Lagrange AdrienPhD Student IRIT- INPT
- Lahat DanaPostDoc- CNRS
- Maalaoui AsmaPhD Student IRIT- INPT
- Magron PaulPostThèse- INPT
- Monier EtiennePhD Student IRIT- INPT
- Ortega Espluga LorenzoPhD Student IRIT
- Sahin SerdarPhD Student IRIT- INPT
- Vial Pierre HugoPhD Student IRIT- INPT
- Vono MaximePhD Student IRIT- INPT
- Zhang SixinPostDoc- INPT
publications of the team SC
Vinicius Ferraris, Nicolas Dobigeon, Yanna Cruz Cavalcanti, Thomas Oberlin, Marie Chabert
Coupled dictionary learning for unsupervised change detection between multi-sensor remote sensing images
Dans : Computer Vision and Image Understanding, Elsevier, 2019 (à paraître).
Jessica Sodjo, Audrey Giremus, Nicolas Dobigeon, François Caron
A Bayesian nonparametric model for unsupervised joint segmentation of a collection of images
Dans : IEEE Access, IEEE : Institute of Electrical and Electronics Engineers, Vol. 7, p. 12017-12018, décembre 2019.
Shaheera Rashwan, Nicolas Dobigeon, Walaa Sheta, Hassan Hanan
Non-linear unmixing of hyperspectral images using multiple-kernel self-organizing maps
Dans : IET Image Processing, IET : Institution of Engineering and Technology, Vol. 13 N. 12, p. 2190-2195, octobre 2019.
Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Cédric Févotte, Simon Stute, Maria Ribeiro, Clovis Tauber
Factor analysis of dynamic PET images: beyond Gaussian noise
Dans : IEEE Transactions on Medical Imaging, IEEE : Institute of Electrical and Electronics Engineers, Vol. 59 N. 8, p. 2231-2241, septembre 2019.
Joint Independent Subspace Analysis: Uniqueness and Identifiability
Dans : IEEE Transactions on Signal Processing, IEEE : Institute of Electrical and Electronics Engineers, Vol. 67 N. 3, p. 684-699, février 2019.
Maxime Vono, Nicolas Dobigeon, Pierre Chainais
Split-and-augmented Gibbs sampler – Application to large scale inverse problems
Dans : IEEE Transactions on Signal Processing, IEEE : Institute of Electrical and Electronics Engineers, Vol. 67 N. 6, p. 1648-1661, mars 2019.
Tatsumi Uezato, Mathieu Fauvel, Nicolas Dobigeon
Hyperspectral unmixing with spectral variability using adaptive bundles and double sparsity
Dans : IEEE Transactions on Geoscience and Remote Sensing, IEEE : Institute of Electrical and Electronics Engineers, Vol. 57 N. 6, p. 3980-3992, juin 2019.
Pierre-Antoine Thouvenin, Nicolas Dobigeon, Jean-Yves Tourneret
Partially asynchronous distributed unmixing of hyperspectral images
Dans : IEEE Transactions on Geoscience and Remote Sensing, IEEE : Institute of Electrical and Electronics Engineers, Vol. 57 N. 4, p. 2009-2021, avril 2019.
Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon
Hierarchical Bayesian image analysis: from low-level modeling to robust supervised learning
Dans : Pattern Recognition, Elsevier, Vol. 85, p. 26-36, janvier 2019.
Lavinia Elena Ciotirca, Olivier Bernal, Jérôme Enjalbert, Thierry Cassagnes, Hélène Tap, Hugues Beaulaton, Serdar Sahin
New Stability Method of a Multirate Controller for a Three-Axis High-QMEMS Accelerometer With Simultaneous Electrostatic Damping
Dans : IEEE Sensors Journal, IEEExplore digital library, Vol. 18 N. 15, p. 6106-6114, août 2018.
Antoine Picot, David Malec, Marie Chabert, Pascal Maussion
Lifespan Modeling of Low Voltage Machines Insulation Materials
Dans : European Journal of Electrical Engineering, Lavoisier, Vol. 17, N. 5-6, p. 291-306, 2016.
Jorge Prendes, Marie Chabert, Frédéric Pascal, Alain Giros, Jean-Yves Tourneret
Performance assessment of a recent change detection method for homogeneous and heterogeneous images
Dans : Revue Française de Photogrammétrie et de Télédétection, Société Française de Photogrammétrie et de Télédétection, France, Vol. 209, p. 23-29, 2015.
Stéphanie Bidon, Olivier Besson, Jean-Yves Tourneret
Synthèse des traitements STAP pour la détection en environnement hétérogène
Dans : Traitement du Signal, GRETSI CNRS, Vol. 28, N. 1-2, p. 81-112, 2013.
Nicolas Dobigeon, Said Moussaoui, Martial Coulon, Jean-Yves Tourneret, Alfred O. Hero
Algorithmes bayésiens pour le démélange supervisé, semi-supervisé et non-supervisé d’images hyperspectrales
Dans : Traitement du Signal, GRETSI CNRS, Vol. 27, N. 1, p. 79-108, août 2010.
Florent Chatelain, André Ferrari, Jean-Yves Tourneret
Lois de Poisson mélangées multivariées : application à la détection en présence de speckle
Dans : Traitement du Signal, GRETSI CNRS, Vol. 26, N. 3, p. 1-12, mai 2009.
Serdar Sahin, Charly Poulliat, Antonio Cipriano, Marie-Laure Boucheret
Doubly Iterative Turbo Equalization: Optimization Through Deep Unfolding (regular paper)
Dans : IEEE International Conference on Personal, Indoor and Mobile Radio Communications (PIMRC 2019), Istanbul, Turkey, 08/09/2019-11/09/2019, IEEE : Institute of Electrical and Electronics Engineers, (support électronique), septembre 2019 (à paraître).
Etienne Monier, Thomas Oberlin, Nathalie Brun, Nicolas Dobigeon
Reconstruction of partially sampled STEM-EELS images with atomic resolution (short paper)
Dans : Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Toulouse, France, 01/04/2019-04/04/2019, INPT : Institut National Polytechnique de Toulouse, (support électronique), juillet 2019.
Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon
Fusion of hyperspectral and multispectral infrared astronomical images (short paper)
Dans : Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Toulouse, France, 01/04/2019-04/04/2019, INPT : Institut National Polytechnique de Toulouse, (support électronique), juillet 2019.
Maxime Vono, Nicolas Dobigeon, Pierre Chainais
On variable splitting for Markov chain Monte Carlo (regular paper)
Dans : Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Toulouse, France, 01/04/2019-04/04/2019, INPT : Institut National Polytechnique de Toulouse, (support électronique), juillet 2019.
Adrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon
Matrix Cofactorization for Joint Unmixing and Classification of Hyperspectral Images (regular paper)
Dans : European Signal Processing Conference (EUSIPCO 2019), A Coruna, Spain, 02/09/2019-06/09/2019, EURASIP, (support électronique), septembre 2019.
Olivier Gouvert, Thomas Oberlin, Cédric Févotte
Recommendation from raw data with adaptive compound Poisson factorization (regular paper)
Dans : Conference on Uncertainty in Artificial Intelligence (UAI 2019), Tel Aviv, Israel, 22/07/2019-25/07/2019, 2019 (à paraître).
Lorenzo Ortega Espluga, Charly Poulliat, Marie-Laure Boucheret, Marion Aubault-Roudier, Hanaa Al Bitar
Optimal Channel Coding Structures for Fast Acquisition Signals in Harsh Environment Conditions (regular paper)
Dans : International Technical meeting and showcase of GNSS technology, products and services (ION GNSS+ 2019), Miami, Florida, USA, 16/09/2019-20/09/2019, ION (Eds.), ION : Institute of Navigation, (support électronique), septembre 2019 (à paraître).
Accès : https://www.ion.org/gnss/abstracts.cfm?paperID=7482
BibTeXLorenzo Ortega Espluga, Pau Closas, Charly Poulliat, Marie-Laure Boucheret, Marion Aubault-Roudier,, Hanaa Al Bitar
Data Decoding Analysis of Next Generation GNSS Signals (regular paper)
Dans : International Technical meeting and showcase of GNSS technology, products and services (ION GNSS+ 2019), Miami, Florida, USA, 16/09/2019-20/09/2019, ION (Eds.), ION : Institute of Navigation, (support électronique), septembre 2019 (à paraître).
Accès : https://www.ion.org/gnss/sessions.cfm?sessionID=979
BibTeXLorenzo Ortega Espluga, Charly Poulliat, Marie-Laure Boucheret, Marion Aubault-Roudier,, Hanaa Al Bitar
Binary Root Protograph LDPC Codes for CSK Modulation toIncrease the Data Rate and Reduce the TTD (regular paper)
Dans : International Technical meeting and showcase of GNSS technology, products and services (ION GNSS+ 2019), Miami, Florida, USA, 16/09/2019-20/09/2019, ION (Eds.), ION : Institute of Navigation, (support électronique), septembre 2019 (à paraître).
Accès : https://www.ion.org/gnss/sessions.cfm?sessionID=979
BibTeXSerdar Sahin, Antonio Cipriano, Charly Poulliat, Marie-Laure Boucheret
Evolution Analysis of Iterative BICM Receivers with Expectation Propagation over ISI Channels (regular paper)
Dans : IEEE International Symposium on Information Theory (ISIT 2019), Paris, France, 07/07/2019-12/07/2019, IEEE : Institute of Electrical and Electronics Engineers, (support électronique), juillet 2019 (à paraître).
Joint Design of GNSS Signal and Message Structure for Galileo 2nd Generation
Dans : International Symposium on Navigation and Timing, TOULOUSE, 13/11/18-16/11/18.
Bayesian linear unmixing for spectral mixture analysis
Dans : International PICS 2012 Workshop on “Chemometrics in time-resolved and imaging spectroscopy – Instrumental measurements and data analysis”, Lille, France, 03/12/12-04/12/12 (conférencier invité).
David Bonacci, Jean-Pierre Millerioux, Raoul Prevost, Julia Lemaitre, Martial Coulon, Jean-Yves Tourneret
Advanced concepts for satellite reception of AIS messages
Dans : Toulouse Space Show, Toulouse, 25/06/12-28/06/12.
MCMC algorithms for spectral unmixing
Dans : Atelier “Astrostatistique en France”, Grenoble, France, 08/12/11-09/12/11 (conférencier invité).
Nicolas Dobigeon, Jean-Yves Tourneret
Joint segmentation of wind speed and direction using a hierarchical model
Dans : Workshop on change-point detection methods and applications, AgroParisTech, Paris, France, 11/09/08-12/09/08 (conférencier invité).
Alfred O. Hero, Nicolas Dobigeon, Kyle Herrity
Sparsity constrained image reconstruction for MRFM
Dans : ARO MURI MRFM Program Progress Review, Cornell University, Ithaca, USA, 09/07/08-11/07/08.
Segmentation Conjointe de Données Astrophysiques
Dans : Colloque de l’Ecole Doctorale Informatique et Télécommunications (EDIT), Toulouse, France, 11/04/05-12/04/05.
Invited Speaker in’ Non Linear Signal Processing with Neural Networks’
Dans : Communication Systems, Networks and Digital Signal Processing (CSNDSP2002), Staffordshire (UK), 15/07/02-17/07/02.
Francis Castanié, Louis Lareng, Albert Alonso, Jean-Luc Weber
Universal Remote Signal Acquisition for health (URSAFE)
Dans : Réunion Scientifique de la Société Européenne de Télémédecine, Paris, 30/09/02-30/09/02.
Francis Castanié, Corinne Mailhes, Eric Le Carpentier, Olivier Besson, André Ferrari, Nadine Martin, Sylvie Marcos, Rémy Boyer, Arnaud Rivoira, Gilles Fleury, Laurent Savy, François Le Chevalier, David Bonacci
Spectral Analysis: Parametric and Non-Parametric Methods, International Scientific and Technical Encyclopedia (ISTE) (Hermès), novembre 2005.
Francis Castanié, Olivier Besson, André Ferrari, Eric Le Carpentier, Corinne Mailhes, Sylvie Marcos, Nadine Martin
Analyse spectrale
, Hermès Lavoisier, 14,rue de Provigny 94236 Cachan cedex,France, 2003.
Résumé Accès : http://www.Lavoisier.fr
BibTeX
Cédric Févotte, Emmanuel Vincent, Alexey Ozerov
Single-channel audio source separation with NMF: divergences, constraints and algorithms
Dans : Audio Source Separation. Shoji Makino (Eds.) , Springer, p. 1-24, 2018.
Alexey Ozerov, Cédric Févotte, Emmanuel Vincent
An introduction to multichannel NMF for audio source separation
Dans : Audio Source Separation. Shoji Makino (Eds.) , Springer, p. 73-94, 2018.
Cédric Févotte, Paris Smaragdis, Nasser Mohammadiha, Gautham Mysore
Temporal extensions of nonnegative matrix factorization
Dans : Audio Source Separation and Speech Enhancement. Emmanuel Vincent, Tuomas Virtanen, Sharon Gannot (Eds.) , Wiley, (en ligne), 2018.
Accès : https://www.wiley.com/en-us/Audio+Source+Separation+and+Speech+Enhancement-p-9781119279891
BibTeXPatrice Abry, Stéphane Jaffard, Roberto Leonarduzzi, Clothilde Melot, Herwig Wendt
New exponents for pointwise singularity classification
Dans : Recent Developments in Fractals and Related Fields: Conference on Fractals and Related Fields III. Stéphane Seuret, Julien Barral (Eds.) , Birkhäuser, (en ligne), 2017.
Accès : http://www.springer.com/gb/book/9783319578033
BibTeXNicolas Dobigeon, Yoann Altmann, Nathalie Brun, Said Moussaoui
Linear and nonlinear unmixing in hyperspectral imaging
Dans : Resolving spectral mixtures – With application from ultrafast time-resolved spectroscopy to superresolution imaging. Cyril Ruckebusch (Eds.) , Elsevier, p. 185-224, septembre 2016.
Accès : http://dx.doi.org/10.1016/B978-0-444-63638-6.00006-1
BibTeXStéphane Jaffard, Patrice Abry, Clothilde Melot, Roberto Leonarduzzi, Herwig Wendt
Multifractal analysis based on p-exponents and lacunarity exponents
Dans : Fractal Geometry and Stochastics V. Christoph Bandt, Kenneth J. Falconer, Martina Zähle (Eds.) , Birkhäuser, p. 279-313, Vol. 70, 2015.
Patrice Abry, Stéphane Jaffard, Herwig Wendt
A bridge between geometric measure theory and signal processing: Multifractal analysis
Dans : Operator-Related Function Theory and Time-Frequency Analysis. Karlheinz Groechenig, Yurii Lyubarskii, Kristian Seip (Eds.) , Springer, p. 1-56, Vol. 9, Abel Symposia, 1, 2015.
Accès : http://www.springer.com/fr/book/9783319085562
BibTeXStéphane Jaffard, Patrice Abry, Herwig Wendt
Irregularities and Scaling in Signal and Image Processing: Multifractal Analysis
Dans : Benoit Mandelbrot: A Life in Many Dimensions. Michael Frame, Nathan Cohen (Eds.) , World Scientific, 3, p. 31-116, Vol. 1, 1, avril 2015.
Accès : http://www.worldscientific.com/worldscibooks/10.1142/8238
BibTeX
Synchronisation, détection et égalisation de modulation à phase continue dans des canaux sélectifs en temps et en fréquence
Thèse de doctorat, Institut National Polytechnique de Toulouse, décembre 2018.
Accès : http://www.theses.fr/s145898
BibTeXModèle bayésien non paramétrique pour la segmentation jointe d’un ensemble d’images avec des classes partagées.
Thèse de doctorat, Bordeaux INP, Bordeaux, septembre 2018.
Nouvelle forme d’onde et récepteur avancé pour la télémesure des futurs lanceurs
Thèse de doctorat, Institut National Polytechnique de Toulouse, novembre 2018.
Récepteurs avancés et nouvelles formes d’ondes pour les communications aéronautiques
Thèse de doctorat, Institut National Polytechnique de Toulouse, juillet 2018.
Accès : http://www.theses.fr/s202632
BibTeXFaster-than-Nyquist Signaling for Improved Future Satellite Communications
Thèse de doctorat, Institut National Polytechnique de Toulouse, octobre 2018.
Vinicius Ferraris Pignataro Mazzei Albert
Fusion-based change detection for remote sensing images of different resolutions and modalities
Thèse de doctorat, Institut National Polytechnique de Toulouse, octobre 2018.
Accès : http://www.theses.fr/s153719
BibTeXFactor analysis of dynamic PET images
Thèse de doctorat, Institut National Polytechnique de Toulouse, octobre 2018.
Accès : http://www.theses.fr/s143521
BibTeXTechniques d’analyse de contenu appliquées à l’imagerie spatiale
Thèse de doctorat, Institut National Polytechnique de Toulouse, octobre 2017.
Mobile data offloading via urban public transportation networks
Thèse de doctorat, Institut National Polytechnique de Toulouse, mai 2017.
Bayesian M/EEG source localization with possible joint skull conductivity estimation
Thèse de doctorat, Institut National Polytechnique de Toulouse, mars 2017.
Marie-Laure Boucheret, Isabelle Buret, Martial Coulon, Mathieu Dervin
Utilisation de techniques détalement sélectif pour mission durgence
Rapport de contrat, 3, Institut National Polytechnique de Toulouse, mars 2008.
Martial Coulon, Benoît Escrig, Daniel Roviras
Study of the Zheng-Xiao fading model
Rapport de contrat, 2, Institut National Polytechnique de Toulouse, juin 2005.
Bilel Raddadi, Benjamin Gadat, Charly Poulliat, Nathalie Thomas, Marie-Laure Boucheret
Equalization method for a parsimonious communication channel and device implementing the method, Patent US9722817 B2.
août 2017.
Tarik Benaddi, Benjamin Gadat, Charly Poulliat, Marie-Laure Boucheret
Method for generating a filter bank for receiving a signal modulated by continuous phase modulation, and method for receiving said signal, Patent US9401829 B2
juillet 2016.
Huyen Chi Bui, Jérôme Lacan, Marie-Laure Boucheret, Guy Lesthievent
Method for transmitting data over a multiple-access communication channel (Patent)
mars 2013.
Accès : http://patentscope.wipo.int/search/en/WO2013037815
BibTeXBenjamin Gadat, Cyril Bergeron, Charly Poulliat, Cécile Gomez
Procédé et dispositif dadaptation de débit dun flux vidéo compressé transmis dans un environnement contraint (brevet européen déposé par THALES Communications)
2012.
Raoul Prevost, David Bonacci, Martial Coulon, Julia Lemaitre, Jean-Pierre Millerioux, Jean-Yves Tourneret
A Viterbi algorithm with conditional transitions (brevet déposé par le CNES)
décembre 2010.
Raoul Prevost, David Bonacci, Martial Coulon, Julia Lemaitre, Jean-Pierre Millerioux, Jean-Yves Tourneret
Multi-encodage error correction with extended trellis (brevet déposé par le CNES)
décembre 2010.
contrats of the team SC
| Acronyme | Title | Period | Scientific leaders | Partners |
|---|---|---|---|---|
| SIERRA | Récepteurs et Allocation de ressources pour des systèmes cognitifs satellitaires à haute efficacité spectrale | 2018-2021 | Poulliat, Charly | EURECOM(Société Anonyme) – LTCI/Laboratoire Traitement et Communication de l’Information(Laboratoire) – UL/University Of Luxembourg(Organisme étranger – Public) |
| MUSICO | Signalisation avancée à multi-dimensions et codage M-aire pour les réseaux de fibres optiques | 2017-2021 | Poulliat, Charly | Université de Cergy-Pontoise(EPCSCP) – Alcaltel Lucent Bell Labs France(EI – SAS) |
| MapInvPint [Contract completed] | Monitoring the water Hyacinth Using Aster Imagery | 2016-2018 | Dobigeon, Nicolas | |
| BNPSI [Contract completed] | Méthodes Bayésiennes non paramétriques pour le traitement du signal et de l’image | 2014-2018 | Dobigeon, Nicolas # Wendt, Herwig | CEA/LIST(Laboratoire) – IMS/Laboratoire de l’Intégration, du matériau au système(Laboratoire) – INRIA Centre Bordeaux Sud-Ouest(EPST) – LAGIS UMR CNRS 8218/Laboratoire d’automatique Génie Informatique et Signal(Laboratoire) |
| Suricate [Contract completed] | Surveillance de Réseaux et d’Infrastructures (transport et énergie), de milieux par des systèmes Aéroportés Endurants | 2013-2017 | Poulliat, Charly | Thales Alenia Space France(Grande Entreprise) – CASSIDIAN(PME) – SNCF(Grande Entreprise) – Telecom Paris Tech/Institut Mines Telecom(EPCST) – VITEC(PME) |
| KAStrion [Contract completed] | KAStrion : Analyse électrique et vibratoire pour la maintenace préventive dans les fermes éoliennes offshore/ | 2012-2016 | Mailhes, Corinne | Grenoble INP /Institut National Polytechnique de Grenoble(EPCSCP) – CETIM/Centre technique des industries mécaniques(Association) |
| Acronyme | Title | Period | Scientific leaders | Partners |
|---|---|---|---|---|
| ERC FACTORY | New paradigms for latent factor estimation | 2016-2021 | Fevotte, Cédric | |
| KASTRION [Contract completed] | KIC INNOENERGY SE KASTRION :Current and vibration analysis for a preventive and predictive condition based maintenance in offshore wind farms | 2013-2014 | Mailhes, Corinne | Grenoble INP /Institut National Polytechnique de Grenoble(EPCSCP) – CETIM/Centre technique des industries mécaniques(Association) – VALEMO/VALEMO(PME) – MECAL/MECAL Wind farm services BV(Grande Entreprise) |
| NEWCOM++ [Contract completed] | NETwork of Excellence in Wireless COMmunication ++ | 2008-2010 | Boucheret, Marie-Laure | LRI/Université Paris Sud – LRI(EPCSCP) – Supélec(EPCSCP) – EURECOM(Société Anonyme) – GET Télécom/GET Groupe des Ecoles des Télécommunications(EPA) |
| [Contract completed] | NEURAL NETWORKS FOR RADIONAVIGATION ESA /M3 SYSTEMS | 2005-2006 | Roviras, Daniel | TESA(Association) |
| [Contract completed] | Cost Télécommunications information science and technologie – Action 272 | 2004-2005 | Castanie, Francis | |
| NEWCOM [Contract completed] | Network of Excellence in Wireless COMmunication | 2004-2006 | Boucheret, Marie-Laure |