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
team Members
- Marie-Laure BOUCHERETProfessor – Toulouse INP
- Elsa CAZELLESResearch Scientist – CNRS
- Marie CHABERTProfessor – Toulouse INP
- Martial COULONProfessor – Toulouse INP
- José Henrique DE MORAIS GOULARTAssociate Professor – Toulouse INP
- Nicolas DOBIGEONProfessor – Toulouse INP
- Benoît ESCRIGAssociate Professor (HDR) – Toulouse INP
- Cédric FÉVOTTESenior Researcher – CNRS
- Corinne MAILHESProfessor – Toulouse INP
- Charly POULLIATProfessor – Toulouse INP
- Emmanuel SOUBIESResearch Scientist – CNRS
- Nathalie THOMASAssociate Professor – Toulouse INP
- Pierre WEISSSenior Researcher – CNRS
- Jonathan Eduardo CHIRINOS RODRIGUEZContractual Researcher – Toulouse INP
- Mathieu DERVINTeacher-researcher MAST – Toulouse INP
- M’Hamed ESSAFRIPhD Student – Toulouse INP
- Arthur FLOQUETPhD Student – UT3 (joint direction MINDS)
- Paul FRAUXTeacher-researcher Temporary Research Assistant – Toulouse INP
- Oihan JOYOTPhD Student – UT3
- Hugues KOUAKOUPhD Student – Toulouse INP
- Arthur MICHONPhD Student – Toulouse INP
- Aubin MOURASPhD Student – Toulouse INP
- Mohammed Racim MOUSSA BOUDJEMAAPhD Student – Toulouse INP
- Léo PORTALESPhD Student – Toulouse INP
- Florian SARRONContractual Researcher – UT3
- Maud BIQUARDAssociate PhD Student – ISAE
- Florentin COEURDOUXYoung doctor IRIT – Toulouse INP
- Elhadji Cissé FAYEAssociate PhD Student – universite orleans
- Erell GACHONAssociate PhD Student – Université de Bordeaux
- Anne GAGNEUXAssociate PhD Student – Université de Lyon / ENS
- Landry MARQUISAssociate PhD Student – UT3
- Nathanael MUNIERAssociate PhD Student – UT3
- Minh Hai NGUYENAssociate PhD Student – UT3
- Thomas OBERLINAssociate teacher-researcher – ISAE
- Sidonie RONFARDTeacher-researcher Invité – Artiste en résidence
- Xiao ZHANGAssociate PhD Student – Université d’Orléans
team publications
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais
Normalizing flow sampling with Langevin dynamics in the latent space
Machine Learning, 2024, ⟨10.1007/s10994-024-06623-x⟩
Emmanuel Soubies, Alejandro Nogueron, Florence Pelletier, Thomas Mangeat, Christophe Leterrier, Michael Unser, Daniel Sage
Surpassing light inhomogeneities in structured‐illumination microscopy with FlexSIM
Journal of Microscopy, 2024, 296 (1), pp.94–106. ⟨10.1111/jmi.13344⟩
Jin-Ju Wang, Nicolas Dobigeon, Marie Chabert, Ding-Cheng Wang, Ting-Zhu Huang, Jie Huang
CD-GAN: A robust fusion-based generative adversarial network for unsupervised remote sensing change detection with heterogeneous sensors
Information Fusion, 2024, 107, pp.102313. ⟨10.1016/j.inffus.2024.102313⟩
Maryam Dehghan, José Henrique de M Goulart, André L. F. de Almeida
Low-Rank Multilinear Filtering
Digital Signal Processing, 2024, 153, pp.104646. ⟨10.1016/j.dsp.2024.104646⟩
Minh Hai Nguyen, François de Vieilleville, Pierre Weiss
DeepVibes: Correcting Micro-Vibrations in Satellite Imaging with Pushbroom Cameras
IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, pp.1-9. ⟨10.1109/TGRS.2024.3415372⟩
Training Adaptive Reconstruction Networks for Blind Inverse Problems
SIAM Journal on Imaging Sciences, 2024, 17, ⟨https://doi.org/10.1137/23M1545628⟩
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais
Plug-and-Play Split Gibbs Sampler: Embedding Deep Generative Priors in Bayesian Inference
IEEE Transactions on Image Processing, 2024, 33, pp.3496-3507. ⟨10.1109/TIP.2024.3404338⟩
Clément Cazorla, Renaud Morin, Pierre Weiss
Svetlana: a Supervised Segmentation Classifier for Napari
Scientific Reports, 2024, 14, ⟨10.1038/s41598-024-60916-8⟩
Xiao Zhang, Ismaël Cognard, Nicolas Dobigeon
RFI-DRUnet: Restoring dynamic spectra corrupted by radio frequency interference—Application to pulsar observations
Astronomy and Computing, 2024, 47, pp.100822. ⟨10.1016/j.ascom.2024.100822⟩
Pierre-Jean Bénard, Yann Traonmilin, Jean-François Aujol, Emmanuel Soubies
Estimation of off-the-grid sparse spikes with over-parametrized projected gradient descent: theory and application
Inverse Problems, 2024, 40 (5), ⟨10.1088/1361-6420/ad33e4⟩
Antonio Quintero Rincón, Máximo Flugelman, Jorge Prendes, Carlos d’Giano
Study on epileptic seizure detection in EEG signals using largest Lyapunov exponents and logistic regression
Revista Argentina de Bioingeniería, 2019, 23 (2), pp.17-24
Antoine Picot, David Malec, Marie Chabert, Pascal Maussion
Lifespan Modeling of Low Voltage Machines Insulation Materials
In : European Journal of Electrical Engineering, Lavoisier, Vol. 17, N. 5-6, pp. 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
In : Revue Française de Photogrammétrie et de Télédétection, Société Française de Photogrammétrie et de Télédétection, France, Vol. 209, pp. 23-29, 2015.
Stéphanie Bidon, Olivier Besson, Jean-Yves Tourneret
Synthèse des traitements STAP pour la détection en environnement hétérogène
In : Traitement du Signal, GRETSI : Groupement de Recherche en Traitement du Signal et des Images, Vol. 28, N. 1-2, pp. 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
In : Traitement du Signal, GRETSI : Groupement de Recherche en Traitement du Signal et des Images, Vol. 27, N. 1, pp. 79-108, August 2010.
Florent Chatelain, André Ferrari, Jean-Yves Tourneret
Lois de Poisson mélangées multivariées : application à la détection en présence de speckle
In : Traitement du Signal, GRETSI : Groupement de Recherche en Traitement du Signal et des Images, Vol. 26, N. 3, pp. 1-12, May 2009.
Arthur Michon, Charly Poulliat, Antonio Maria Cipriano
Graph Neural Networks versus Gated Recurrent Units Only for approximate bayesian MU-MIMO detectors
IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2024), IEEE, Sep 2024, Lucca, Italy. à paraître
Xiao Zhang, Ismaël Cognard, Nicolas Dobigeon
A deep neural network to restore pulsar dynamic spectra corrupted by radio frequency interference
Software and Cyberinfrastructure for Astronomy VIII, Jun 2024, Yokohama, France. pp.131012J, ⟨10.1117/12.3018358⟩
Arthur Michon, Charly Poulliat, Antonio Maria Cipriano
Learning Modified Gated Recurrent Units for Information Feedback in Unfolded Turbo VEP MU-MIMO Receivers
IEEE International Conference on Communications (ICC 2024), IEEE, Jun 2024, Denver (Colorado), United States. pp.3573–3578, ⟨10.1109/ICC51166.2024.10622295⟩
Hugo Lebeau, Mohamed El Amine Seddik, José Henrique de M Goulart
Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model
ICLR 2024 – 12th International Conference on Learning Representations, May 2024, Wien, Austria. pp.1-29
Marie-Claude Bal, François Baleux, Carine Calastrenc, Pierre Campmajo, Nicolas Dobigeon, Jordi Inglada, Luc Lapierre, Matthieu Le Bailly, Llubes Muriel, Nicolas Mellado, Hernandez Josu Nabarte, Magalie Phillippe, Poirier Nicolas, Christine Rendu, Claire Marais-Sicre
Mont’Prospect2.0
Journée de restitution Nouvelles frontières de l’archéologie 2024, CNRS – MITI, Jan 2024, Paris, France
Mohamed El Amine Seddik, Maxime Guillaud, Alexis Decurninge, José Henrique de M Goulart
On the Accuracy of Hotelling-Type Asymmetric Tensor Deflation: A Random Tensor Analysis
IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2023), IEEE, Dec 2023, Los Sueños, Costa Rica. à paraître
Damien Roque, Stéphanie Bidon, Charly Poulliat
DSSS Chip-Wise Faster-than-Nyquist Signaling with DPSK for Robust Carrier Synchronization
IEEE Military Communications Conference (MILCOM 2023), IEEE, Oct 2023, Boston, United States. pp.516-521, ⟨10.1109/MILCOM58377.2023.10356340⟩
Pascal Nguyen, Emmanuel Soubies, Caroline Chaux
MAP-informed Unrolled Algorithms for Hyper-parameter Estimation
2023 IEEE International Conference on Image Processing (ICIP), Oct 2023, Kuala Lumpur, Malaysia. pp.2160-2164, ⟨10.1109/ICIP49359.2023.10222154⟩
Carine Calastrenc, Christine Rendu, Nicolas Poirier, François Baleux, Pierre Campmajo, Nicolas Dobigeon, Nicolas Mellado, Claire Sicre-Marais, Jordi Inglada, Marie-Claude Bal, Magali Philippe, Muriel Llubes, Luc Lapierre
Prospecter les montagnes autrement
Séminaire de laboratoire TRACES, Laboratoire TRACES (UMR 5608) – Toulouse, Oct 2023, Toulouse, France
Jocelyn Bourduge, Charly Poulliat, Benjamin Gadat, Jean Frédéric Chouteau
Variable Rate Non-Binary Coded Schemes Based on PSK-LoRa Modulation and LDPC Codes
28th European Wireless Conference (EW 2023), ITG Informationstechnische Gesells. im VDE, Oct 2023, Rome, Italy. à paraître
Marie-Claude Bal, François Baleux, Carine Calastrenc, Pierre Campmajo, Nicolas Dobigeon, Jordi Inglada, Luc Lapierre, Muriel Llubes, Nicolas Mellado, Magali Philippe, Nicolas Poirier, Christine Rendu, Claire Marais-Sicre
Prospecter autrement les montagnes
Séminaire transversal du laboratoire TRACES (2023), Laboratoire TRACES (UMR 5608) : Travaux et Recherches Archéologiques sur les Cultures, les Espaces et les Sociétés, Sep 2023, Toulouse, France
Nathanaël Munier, Emmanuel Soubies, Pierre Weiss
Algorithmes de visualisation de non-identifiabilité
XXIXème Colloque Francophone de Traitement du Signal et des Images (GRETSI 2023), Groupe de Recherche et d’Etudes de Traitement du Signal et des Images, Aug 2023, Grenoble, France
Mohamed El Amine Seddik, José Henrique de M Goulart, Maxime Guillaud
Hotelling Deflation on Large Symmetric Spiked Tensors
Colloque Francophone de Traitement du Signal et des Images (GRETSI), Aug 2023, Grenoble, France. ⟨10.48550/arXiv.2304.10248⟩
Vincent Zalc, Dan Istrate, Eric Campo, Pierre Rumeau, Adrien van den Bossche, Nadine Vigouroux, Frédéric Vella, Olivier Negro
Système de détection de maladies respiratoires basé sur l’analyse de l’environnement sonore dans des habitats partagés : résultats préliminaires
9ème Colloque en TéléSANté et dispositifs biomédicaux : Dispositifs biomédicaux et technologies numériques en santé – des besoins aux usages (JETSAN 2023), université Paris 8, laboratoire LIASD; Sorbonne Université, laboratoire GeePs; CNRS, Jun 2023, Paris, Saint Denis, France
Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais
Approximation du transport optimal entre distributions empiriques par flux de normalisation
XXVIIIème Colloque Francophone de Traitement du Signal et des Images (GRETSI 2022), Sep 2022, Nancy, France
Serdar Sahin, Antonio Cipriano, Charly Poulliat
Optimization and Analysis of Deep Unfolding Based Double Loop Turbo Equalizers
Journées scientifiques d’URSI-France – Workshop: Réseaux du futur : 5G et au-delà (URSI-France 2020), Mar 2020, Palaiseau, France. pp.1-7
Maxime Vono, Nicolas Dobigeon, Pierre Chainais
Un modèles augmenté asymptotiquement exact pour la restauration bayésienne d’images dégradées par un bruit de Poisson
27e colloque du Groupe de Recherche et d’Etudes du Traitement du Signal et des Images (GRETSI 2019), Aug 2019, Lille, France. pp.1-4
Maxime Vono, Nicolas Dobigeon, Pierre Chainais
Modèles augmentés asymptotiquement exacts
27e colloque du Groupe de Recherche et d’Etudes du Traitement du Signal et des Images (GRETSI 2019), Aug 2019, Lille, France. pp.1-4
Adrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon
Cofactorisation de matrices pour le démélange et la classification conjoints d’images hyperspectrales (GRETSI 2019)
27e colloque du Groupe de Recherche et d’Etudes du Traitement du Signal et des Images (GRETSI 2019), Aug 2019, Lille, France. pp.1-4
Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon
Fusion d’images multispectrales et hyperspectrales pour l’observation en astronomie infrarouge
27e colloque du Groupe de Recherche et d’Etudes du Traitement du Signal et des Images (GRETSI 2019), Aug 2019, Lille, France. pp.1-4
Saïd Moussaoui, Leonardo Tomazeli Duarte, Nicolas Dobigeon, Christian Jutten
Bayesian source separation
Christian Jutten; Leonardo Tomazeli Duarte; Said Moussaoui. Source Separation in Physical‐Chemical Sensing, Chapter 4, Wiley, pp.151-199, 2023, Print ISBN:9781119137221 |Online ISBN:9781119137252. ⟨10.1002/9781119137252.ch4⟩
Carine Calastrenc, François Baleux, Nicolas Poirier, Christine Rendu, Pierre Campmajo, Nicolas Dobigeon, Nicolas Mellado, Claire Marais-Sicre, Marie-Claude Bal, Magali Philippe, Muriel Llubes
Inspecter les montagne autrement
Bertoncello Frédérique; Ouriachi Marie-Jeanne; Nuninger Laure; Favory François. Dynamiques des peuplements, des territoires et des paysages : Bilan et perspectives en archéologie spatiale, hommages à Jean-Luc Fiches – Settlement, territory and landscape dynamics: Assessment and prospects in spatial archaeology, tribute to Jean-Luc Fiches – Actes des 42es rencontres internationales d’archéologie et d’histoire – Nice Côte d’Azur des 12-14 octobre 2022, sous la direction de Frédérique Bertoncello, Marie-Jeanne Ouriachi, Laure Nuninger, François Favory, CEPAM – UMR 7264 – Université Côte d’Azur – CNRS, 2023, Actes des Rencontres Internationales d’Archéologie et d’Histoire et d’Antibes, 2-904110-65-8
Antoine Picot, Marie Chabert, Pascal Maussion
Chapter 5. Methods for Lifespan Modeling in Electrical Engineering
ISTE Ltd. Electrical Systems 1From Diagnosis to Prognosis, John Wiley & Sons, Inc., 2020, Electrical Systems 1 – From Diagnosis to Prognosis, 978-1-78630-465-0
Michel Devy, Frédéric Lerasle, Nicolas Dobigeon, Cédric Févotte
Perception et apprentissage de représentations
Intelligence artificielle – Regards croisés de chercheur·es, 44, La Dépêche; CNRS, pp.12-15, 2020, Le Petit Illustré
Alexey Ozerov, Cédric Févotte, Emmanuel Vincent
An introduction to multichannel NMF for audio source separation
Audio Source Separation, Springer, 2018, Signals and Communication Technology
Cédric Févotte, Emmanuel Vincent, Alexey Ozerov
Single-channel audio source separation with NMF: divergences, constraints and algorithms
Audio Source Separation, Springer, 2018
Cédric Févotte, Paris Smaragdis, Nasser Mohammadiha, Gautham Jean Mysore
Temporal extensions of nonnegative matrix factorization
Audio Source Separation and Speech Enhancement, 2018
Patrice Abry, Stéphane Jaffard, Roberto Leonarduzzi, Clothilde Melot, Herwig Wendt
New exponents for pointwise singularity classification
Seuret, Stéphane; Barral, Julien. Recent Developments in Fractals and Related Fields: Conference on Fractals and Related Fields III, FARF3 2015: Recent Developments in Fractals and Related Fields, Birkhäuser, pp.1-37, 2017, Trends in Mathematics book series (TM), 978-3-319-57803-3. ⟨10.1007/978-3-319-57805-7_1⟩
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), November 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.
Nicolas Dobigeon, Yoann Altmann, Nathalie Brun, Said Moussaoui
Linear and nonlinear unmixing in hyperspectral imaging
In : Resolving spectral mixtures – With application from ultrafast time-resolved spectroscopy to superresolution imaging. Cyril Ruckebusch (Eds.) , Elsevier, pp. 185-224, September 2016.
URL : 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
In : Fractal Geometry and Stochastics V. Christoph Bandt, Kenneth J. Falconer, Martina Zähle (Eds.) , Birkhäuser, pp. 279-313, Vol. 70, 2015.
Patrice Abry, Stéphane Jaffard, Herwig Wendt
A bridge between geometric measure theory and signal processing: Multifractal analysis
In : Operator-Related Function Theory and Time-Frequency Analysis. Karlheinz Groechenig, Yurii Lyubarskii, Kristian Seip (Eds.) , Springer, pp. 1-56, Vol. 9, Abel Symposia, 1, 2015.
Stéphane Jaffard, Patrice Abry, Herwig Wendt
Irregularities and Scaling in Signal and Image Processing: Multifractal Analysis
In : Benoit Mandelbrot: A Life in Many Dimensions. Michael Frame, Nathan Cohen (Eds.) , World Scientific, 3, pp. 31-116, Vol. 1, 1, April 2015.
URL : http://www.worldscientific.com/worldscibooks/10.1142/8238
BibTeXRateless Coding
In : Academic Press Library in Mobile and Wireless Communications: Theory, Algorithms and Applications. David Declercq, Marc Fossorier, Ezio Biglieri (Eds.) , Elsevier, 8, (electronic medium), 1, June 2014.
URL : http://store.elsevier.com/Channel-Coding-Theory-Algorithms-and-Applications/isbn-9780123964991/
BibTeXNicolas Dobigeon, Said Moussaoui, Martial Coulon, Jean-Yves Tourneret, Alfred O. Hero
MCMC algorithms for supervised and unsupervised linear unmixing of hyperspectral images
In : New Concepts in Imaging: Optical and Statistical Models. David Mary, Céline Theys, Claude Aime (Eds.) , EDP Sciences, pp. 381-401, Vol. 59, EAS Publications Series, 2013.
Stefania Sesia, Charly Poulliat
Incremental Redundancy for Coding
In : Error Control Coding for B3G/4G Wireless Systems. Thierry Lestable, Moshe Ran (Eds.) , Wiley, 3, pp. 69-112, WWRF series, March 2011.
Carlos Mosquera, Marie-Laure Boucheret, Michel Bousquet, S Cioni, W Gappmair
chapter Parameter Estimation and Synchronization
In : Digital Satellite Communications. Giovanni Corazza (Eds.) , Springer, pp. 150-180, 2007.
URL : http://www.springer.com/engineering/signals/book/978-0-387-25634-4
BibTeX
Monte Carlo sampling and deep generative models for Bayesian inference
Networking and Internet Architecture [cs.NI]. Institut National Polytechnique de Toulouse – INPT, 2023. English. ⟨NNT : 2023INPT0106⟩
Design of Coded Modulation Schemes Based on Non-Binary LDPC Codes
Other [cs.OH]. Institut National Polytechnique de Toulouse – INPT, 2023. English. ⟨NNT : 2023INPT0044⟩
Phase retrieval and audio signal reconstruction with non-quadratic cost functions
Networking and Internet Architecture [cs.NI]. Institut National Polytechnique de Toulouse – INPT, 2022. English. ⟨NNT : 2022INPT0110⟩
Deep learning for embedded image compression in Earth Observation
Networking and Internet Architecture [cs.NI]. Institut National Polytechnique de Toulouse – INPT, 2022. English. ⟨NNT : 2022INPT0064⟩
Inertial and Second-order Optimization Algorithms for Training Neural Networks
Other [cs.OH]. Institut National Polytechnique de Toulouse – INPT, 2021. English. ⟨NNT : 2021INPT0107⟩
Fusion rapide d’images multispectrales et hyperspectrales en astronomie infrarouge.
Autre [cs.OH]. Institut National Polytechnique de Toulouse – INPT, 2021. Français. ⟨NNT : 2021INPT0090⟩
Reconstruction rapide d’images multi-bandes partiellement échantillonnées en spectromicroscopie EELS
Traitement du signal et de l’image [eess.SP]. Institut National Polytechnique de Toulouse – INPT, 2020. Français. ⟨NNT : 2020INPT0090⟩
Asymptotically exact data augmentation : models and Monte Carlo sampling with applications to Bayesian inference
Sound [cs.SD]. Institut National Polytechnique de Toulouse – INPT, 2020. English. ⟨NNT : 2020INPT0098⟩
Interference modeling of wireless cooperative systems
Networking and Internet Architecture [cs.NI]. Institut National Polytechnique de Toulouse – INPT, 2020. English. ⟨NNT : 2020INPT0052⟩
Factorisation bayésienne de matrices pour le filtrage collaboratif
Autre [cs.OH]. Institut National Polytechnique de Toulouse – INPT, 2019. Français. ⟨NNT : 2019INPT0138⟩
Marie-Claude Bal, François Baleux, Anne Berdoy, Carine Calastrenc, Nicolas Dobigeon, Pascal Foucher, Maialen Gauthier, Olivier Jaffe, Luc Lapierre, Matthieu Le Bailly, Muriel Llubes, Nicolas Mellado, Hernandez Josu Nabarte, Magalie Phillippe, Nicolas Poirier, Christine Rendu, Claire Marais-Sicre
Inspecter les montagnes autrement (Année 2023)
Centre national de la recherche scientifique (CNRS). 2024
Concilier trois innovations curriculaires : le passage aux blocs de compétences, l’approche par compétences et l’approche programme
[Rapport de recherche] Toulouse INP. 2020
Marie-Laure Boucheret, Isabelle Buret, Martial Coulon, Mathieu Dervin
Utilisation de techniques détalement sélectif pour mission durgence
Contract report, 3, Institut National Polytechnique de Toulouse, March 2008.
Martial Coulon, Benoît Escrig, Daniel Roviras
Study of the Zheng-Xiao fading model
Contract report, 2, Institut National Polytechnique de Toulouse, June 2005.
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
July 2016.
Huyen Chi Bui, Jérôme Lacan, Marie-Laure Boucheret, Guy Lesthievent
Method for transmitting data over a multiple-access communication channel (Patent)
March 2013.
URL : 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)
December 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)
December 2010.
team Contracts
| Acronym | Title | Cadre Financement | Resp. sc | Start |
|---|---|---|---|---|
| FACTORY [Contract completed] | New paradigms for latent factor estimation | Subventions ERC | Cédric FÉVOTTE | 2016 |
| Acronym | Title | Cadre Financement | Resp. sc | Start |
|---|---|---|---|---|
| Labex CIMI | Centre International de Mathématiques et d’Informatique (de Toulouse) | Programme d’Investissements d’Avenir (PIA) | Joseph GERGAUD Christine ROCHANGE Franck MORVAN Denis KOUAMÉ Lotfi CHAARI Urtzi AYESTA Boris TEABE Thomas CARLE Emmanuel SOUBIES José Henrique DE MORAIS GOULART | 2012 |
| AI4CODE | Apport de l’intelligence artificielle à la conception et au décodage de codes correcteurs d’erreurs | Appels à projets ANR (hors PIA) | Charly POULLIAT | 2021 |
| EVASION | Implémentation Efficace et Optimisation de récepteurs avancés basés sur le passage de messages pour les futurs réseaux sans fil | Appels à projets ANR (hors PIA) | Charly POULLIAT | 2021 |
| MICROBLIND | Problèmes inverses aveugles et microscopie optique | Appels à projets ANR (hors PIA) | Pierre WEISS Emmanuel SOUBIES | 2021 |
| IMAGIN | Imagerie moléculaire active et sélective | Appels à projets ANR (hors PIA) | Nicolas DOBIGEON | 2022 |
| EROSION | Relaxations exactes pour l’optimisation parcimonieuse et de faible rang | Appels à projets ANR (hors PIA) | Emmanuel SOUBIES | 2023 |
| IUF Nicolas Dobigeon | IUF Junior Chaire Fondamentale : Nicolas Dobigeon | Autres financements publics sur appel à projets | Nicolas DOBIGEON | 2023 |
| Acronym | Title | Cadre Financement | Resp. sc | Start |
|---|---|---|---|---|
| DEPICT [Contract completed] | Allocation Doctorale : Du démélange pixellique à la classification thématique – Apprentissage multi-résolution pour analyse hiérarchique d’images hyperspectrales et hypertemporelles | Collectivités territoriales | Nicolas DOBIGEON | 2016 |
| REALISM [Contract completed] | Réalité Altérée Intégrée pour Smart Mobile | Fonds structurels européens | Marie CHABERT | 2015 |
