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
Members team
- 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
- Noureddine Yacine BOUGREAIntern M1 – Toulouse INP
- Jocelyn BOURDUGEPhD Student – Toulouse INP
- Florentin COEURDOUXPhD Student – Toulouse INP
- Mathieu DERVINTeacher-researcher MAST – Toulouse INP
- Mamadou Lamarana DIALLOIntern M2 – Toulouse INP
- M’Hamed ESSAFRIIntern M2 – Toulouse INP
- Alper KALLEIntern M2 – CNRS
- Hugues KOUAKOUPhD Student – Toulouse INP
- Adam MEKHICHEPhD Student – Toulouse INP
- Arthur MICHONPhD Student – Toulouse INP
- Rémy OGGEROIntern M2 – Toulouse INP
- Gargee PHUKONIntern M2 – CNRS
- Léo PORTALESIntern M2 – Toulouse INP
- Soren SAHIIntern L – ENS RENNES
- Matthieu TRICHARDIntern M1 – Toulouse INP
- Kim Thang VOIntern M1 – INSA Toulouse
- Maud BIQUARDAssociate PhD Student – ISAE
- Malek ELLOUZEAssociate PhD Student – Autre tutelle
- Lina ISSAAssociate PhD Student – UT3
- Asma MAALAOUIYoung doctor IRIT – Toulouse INP
- Thomas OBERLINAssociate teacher-researcher – ISAE
- Pierre Hugo VIALYoung doctor IRIT – CNRS
- Xiao ZHANGAssociate PhD Student – Autre tutelle
publications team
Arthur Louchart, Ehsan Tohidi, David Gesbert, Philippe Ciblat, Eva Lagunas, Charly Poulliat
Some power allocation algorithms for cognitive uplink satellite systems
EURASIP Journal on Wireless Communications and Networking, 2023, 2023: 32, pp.1-30. ⟨10.1186/s13638-023-02234-7⟩
Arthur Marmin, José Henrique de M Goulart, Cédric Févotte
Joint Majorization-Minimization for Nonnegative Matrix Factorization with the $\beta$-divergence
Signal Processing, In press, 209, pp.109048. ⟨10.1016/j.sigpro.2023.109048⟩
Cassio F. Dantas, Emmanuel Soubies, Cédric Févotte
Sphere Refinement in Gap Safe Screening
IEEE Signal Processing Letters, 2023, ⟨10.1109/LSP.2023.3277792⟩
Felipe Tobar, Elsa Cazelles, Taco de Wolff
Computationally-efficient initialisation of GPs: The generalised variogram method
Transactions on Machine Learning Research Journal, 2023, pp.1-24. ⟨10.48550/arXiv.2210.05394⟩
Ondřej Mokrý, Paul Magron, Thomas Oberlin, Cédric Févotte
Algorithms for audio inpainting based on probabilistic nonnegative matrix factorization
Signal Processing, 2023
Yanna Cruz Cavalcanti, Thomas Oberlin, Vinicius Ferraris, Nicolas Dobigeon, Maria Ribeiro, Clovis Tauber
Compartment model-based nonlinear unmixing for kinetic analysis of dynamic PET images
Medical Image Analysis, 2023, 84, pp.102689. ⟨10.1016/j.media.2022.102689⟩
Lorenzo Ortega, Charly Poulliat
GNSS Channel Coding Structures for Fast Acquisition Signals in Harsh Environment Conditions
Navigation, In press
SNR-Optimal Spreading Sequences for Chip-Wise Faster-than-Nyquist Signaling
IEEE Communications Letters, In press, pp.1-1. ⟨10.1109/LCOMM.2023.3265070⟩
Fast Hyperspectral Unmixing Using a Multiscale Sparse Regularization
IEEE Geoscience and Remote Sensing Letters, 2022, 19, pp.1-5. ⟨10.1109/LGRS.2022.3217872⟩
José Henrique de M Goulart, Romain Couillet, Pierre Comon
A Random Matrix Perspective on Random Tensors
Journal of Machine Learning Research, 2022, 23 (264), pp.1-36
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.
Antonio Quintero Rincon, Jorge Prendes, Marcelo Alejandro Pereyra, Hadj Batatia, Marcelo Risk
Multivariate Bayesian classification of epilepsy EEG signals (regular paper)
In : IEEE Workshop on Image, Video, and Multidimensional Signal Processing (IVMSP 2016), Bordeaux, France, 11/07/16-12/07/16, IEEE : Institute of Electrical and Electronics Engineers, (electronic medium), July 2016.
Roberto Leonarduzzi, Patrice Abry, Herwig Wendt, Ken Kiyono, Yoshiharu Yamamoto, Eiichi Watanabe, Junichiro Hayano
Scattering Transform of Heart Rate Variability for the Prediction of Ischemic Stroke in Patients with Atrial Fibrillation (regular paper)
In : International Workshop Biosignal Interpretation (BSI 2016), Osaka, Japan, 01/11/16-03/11/16, IEEE : Institute of Electrical and Electronics Engineers, (electronic medium), November 2016.
Bilel Raddadi, Nathalie Thomas, Charly Poulliat, Marie-Laure Boucheret
On the use of spatial modulation in aeronautical communications (regular paper)
In : IEEE International Conference on Wireless and Mobile Computing,Networking and Communications (WiMob 2016), New York, USA, 17/10/16-19/10/16, IEEE : Institute of Electrical and Electronics Engineers, (electronic medium), October 2016.
Patrice Abry, Andrew G. Klein, Paul Messier, Stéphane Roux, Margaret Holben Ellis, William A. Sethares, David Picard, Yuanhao Zhai, David L. Neuhoff, Herwig Wendt, Stéphane Jaffard, Richard Johnson
Wove Paper Analysis through Texture Similarities (regular paper)
In : IEEE Annual Asilomar Conference on Signals, Systems, and Computers (ASILOMAR 2016), Pacific Grove, USA, 06/11/16-09/11/16, IEEE : Institute of Electrical and Electronics Engineers, (electronic medium), November 2016.
Rémi Flamary, Cédric Févotte, Nicolas Courty, Valentin Emiya
Optimal spectral transportation with application to music transcription (regular paper)
In : Advances in Neural Information Processing Systems (NIPS 2016), Barcelona, Spain, 05/12/16-10/12/16, NIPS 2016, (on line), December 2016.
URL : https://papers.nips.cc/paper/6479-optimal-spectral-transportation-with-application-to-music-transcription – https://oatao.univ-toulouse.fr/18875/
BibTeXRonan Hamon, Valentin Emiya, Cédric Févotte
Convex nonnegative matrix factorization with missing data (regular paper)
In : IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2016), Salerno, Italy, 13/09/16-16/09/16, IEEE : Institute of Electrical and Electronics Engineers, pp. 1-6, September 2016.
Xavier Laval, Guanghan Song, Zhong-Yang Li, Pascal Bellemain, Maxime Lefray, Nadine Martin, Alexis Lebranchu, Corinne Mailhes
AStrion assets for the detection of a main bearing failure in an onshore wind turbine (regular paper)
In : International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM & MFPT 2016), Paris, France, 10/10/16-12/10/16, The British Institute of Non-Destructive Testing, (electronic medium), October 2016.
Benjamin Gadat, Charly Poulliat
Modified augmented belief propagation for general memoryless channels (regular paper)
In : International Symposium on Turbo Codes and Iterative Information Processing (ISTC 2016), Brest, France, 05/09/16-09/09/16, IEEE : Institute of Electrical and Electronics Engineers, pp. 191-195, September 2016.
Romain Tajan, Charly Poulliat, Marie-Laure Boucheret
Circular Faster Than Nyquist: Transmitter and iterative receiver design (regular paper)
In : International Symposium on Turbo Codes and Iterative Information Processing (ISTC 2016), Brest, France, 05/09/16-09/09/16, IEEE : Institute of Electrical and Electronics Engineers, pp. 241-245, September 2016.
Farah Salameh, Marie Chabert, Antoine Picot, Pascal Maussion
Hybrid parametric/non-parametric models for lifespan modeling of insulation materials (regular paper)
In : Condition Monitoring, Paris, 10/10/16-12/10/16, British Institute of Non-Destructive Testing, (electronic medium), 2016.
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
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
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
Etienne Monier, Thomas Oberlin, Nathalie Brun, Marcel Tencé, Marta de Frutos, Nicolas Dobigeon
Reconstruction de spectres-images STEM-EELS partiellement échantillonnés
16e Colloque de la Société Française des Microscopies (SFU 2019), Jul 2019, Poitiers, France. pp.74-75
Maxime Vono, Nicolas Dobigeon, Pierre Chainais
On variable splitting for Markov chain Monte Carlo
Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Apr 2019, Toulouse, France. pp.1-2
Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon
Fusion of hyperspectral and multispectral infrared astronomical images (SPARS 2019)
Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Apr 2019, Toulouse, France. pp.0
Christine Sènac, Thomas Pellegrini, Julien Pinquier, Florian Mouret
Réseaux de neurones convolutifs et paramètres musicaux pour la classification en genres
XXVIe Colloque GRETSI sur le Traitement du Signal et des Images (GRETSI 2017), Sep 2017, Juan-les-pins, France. pp.1-5
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
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
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
Échantillonnage Non Uniforme : Application aux filtrages et aux conversions CAN/CNA (Convertisseurs Analogique-Numérique et Numérique/Analogique) dans les télécommunications par satellite
Master’s Thesis, Institut National Polytechnique de Toulouse, January 2016.
Bayesian joint detection-estimation in functional MRI with automatic parcellation and functional constraints
Master’s Thesis, Institut National Polytechnique de Toulouse, September 2016.
Analyse multifractale de données multivariées avec application à la télédétection
Master’s Thesis, Institut National Polytechnique de Toulouse, October 2016.
Deconvolution, Segmentation and Restoration of Ultrasound Images
Master’s Thesis, Institut National Polytechnique de Toulouse, October 2016.
Définition de signaux et de techniques de traitement innovants pour les futurs systèmes GNSS
Master’s Thesis, Université de Toulouse, January 2015.
Optimization Methods for Active and Passive Localization
Master’s Thesis, Institut National Polytechnique de Toulouse, April 2015.
New statistical modeling of multi-sensor images with application to change detection
Master’s Thesis, Université Paris-Saclay, Paris, October 2015.
Sparse graph-based coding schemes for continuous phase modulations
Master’s Thesis, Institut National Polytechnique de Toulouse, December 2015.
Bayesian Fusion of Multi-band Images: A Powerful Tool for Super-resolution
Master’s Thesis, Institut National Polytechnique de Toulouse, September 2015.
Apprentissage d’Arbres de Convolutions pour la Représentation Parcimonieuse
Master’s Thesis, Institut National Polytechnique de Toulouse, October 2015.
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.
Contracts team
| Acronyme | Titre | Resp. sc | Début – fin | |
|---|---|---|---|---|
| AI4CODE | Apport de l’intelligence artificielle à la conception et au décodage de codes correcteurs d’erreurs | Charly POULLIAT | 2021 – 2025 | |
| EVASION | Implémentation Efficace et Optimisation de récepteurs avancés basés sur le passage de messages pour les futurs réseaux sans fil | Charly POULLIAT | 2021 – 2025 | |
| MICROBLIND | Problèmes inverses aveugles et microscopie optique | Emmanuel SOUBIES | 2021 – 2026 | |
| EROSION | Relaxations exactes pour l’optimisation parcimonieuse et de faible rang | Emmanuel SOUBIES | 2022 – 2026 | |
| IMAGIN | Imagerie moléculaire active et sélective | Nicolas DOBIGEON | 2022 – 2025 | |
| SIERRA [Contract completed] | Récepteurs et Allocation de ressources pour des systèmes cognitifs satellitaires à haute efficacité spectrale | Charly POULLIAT | 2018 – 2021 | |
| KAStrion [Contract completed] |  | KAStrion : Analyse électrique et vibratoire pour la maintenace préventive dans les fermes éoliennes offshore/ | Corinne MAILHES | 2012 – 2016 |
| Acronyme | Titre | Resp. sc | Début – fin | |
|---|---|---|---|---|
| Labex CIMI | Centre International de Mathématiques et d’Informatique (de Toulouse) | Joseph GERGAUD Christine ROCHANGE Franck MORVAN Denis KOUAMÉ Lotfi CHAARI Urtzi AYESTA Boris TEABE Thomas CARLE Emmanuel SOUBIES José Henrique DE MORAIS GOULART | 2012 – 2024 | |
| MUSICO [Contract completed] | | Signalisation avancée à multi-dimensions et codage M-aire pour les réseaux de fibres optiques | Charly POULLIAT | 2017 – 2021 |
| DEPICT [Contract completed] | | Allocation Doctorale : Du démélange pixellique à la classification thématique – Apprentissage multi-résolution pour analyse hiérarchique d’images hyperspectrales et hypertemporelles | Nicolas DOBIGEON | 2016 – 2020 |
| FACTORY [Contract completed] | | New paradigms for latent factor estimation | Cédric FÉVOTTE | 2016 – 2022 |
| MapInvPint [Contract completed] | Monitoring the Water Hyacinth Using ASTER Imagery | Nicolas DOBIGEON | 2016 – 2018 | |
| BNPSI [Contract completed] | Méthodes Bayésiennes non paramétriques pour le traitement du signal et de l’image | Nicolas DOBIGEON Herwig WENDT | 2014 – 2018 |
| Acronyme | Titre | Resp. sc | Début – fin |
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