SC Team

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

Representation, analysis and processing of signals and images (remote sensing, biomedical, audio, electrical, aeronautical and space engineering)
Learning and statistical data processing
Digital communications (waveform, detection, estimation, receivers, coding)
Aeronautical and satellite telecommunications systems
Mobile communication systems
Machine-to-machine (M2M) and Internet of Things (loT)
Satellite navigation and positioning systems

team Members

Permanent members
Non-permanent members
External members

team publications

International journals articles
  • 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⟩

    Accès: https://hal.science/hal-04483118

  • Clément Cazorla, Renaud Morin, Pierre Weiss

    Svetlana: a Supervised Segmentation Classifier for Napari

    Scientific Reports, 2024, 14, ⟨10.1038/s41598-024-60916-8⟩

    Accès: https://hal.science/hal-03927879v3

  • 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⟩

    Accès: https://hal.science/hal-04602765

  • 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⟩

    Accès: https://hal.science/hal-04537955

  • Arthur Floquet, Sayantan Dutta, Emmanuel Soubies, Duong-Hung Pham, Denis Kouamé, Denis Kouame

    Automatic Tuning of Denoising Algorithms Parameters without Ground Truth

    IEEE Signal Processing Letters, 2024, 31, pp.381 – 385. ⟨10.1109/LSP.2024.3354554⟩

    Accès: https://hal.science/hal-04344047

  • Min Zhao, Jie Chen, Nicolas Dobigeon

    AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising

    IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, pp.5512115. ⟨10.1109/TGRS.2024.3377472⟩

    Accès: https://hal.science/hal-04528503

  • Valentin Gilet, Guillaume Mabilleau, Matthieu Loumaigne, Laureen Coic, Raffaele Vitale, Thomas Oberlin, José Henrique de M Goulart, Nicolas Dobigeon, Cyril Ruckebusch, David Rousseau

    Superpixels meet essential spectra for fast Raman hyperspectral microimaging

    Optics Express, 2023, 32 (1), pp.932. ⟨10.1364/OE.509736⟩

    Accès: https://hal.science/hal-04409250

  • Carine Calastrenc, François Baleux, Nicolas Poirier, Christine Rendu, Pierre Campmajo, Nicolas Dobigeon, Muriel Llubes, Magali Philippe, Marie-Claude Bal, Nicolas Mellado, Claire Marais-Sicre

    Arqueo 2.0. Renovación metodológica de la prospección arqueológica de zonas de montaña

    Treballs d’Arqueologia, 2023, Mètodes i tècniques per a l’arqueologia de muntanya: aplicacions en àmbits pirinencs, 26, pp.95-109. ⟨10.5565/rev/tda.153⟩

    Accès: https://hal.science/hal-04335772

  • 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⟩

    Accès: https://hal.science/hal-04086275

  • Nathanaël Munier, Emmanuel Soubies, Pierre Weiss

    The MLE is a reliable source: sharp performance guarantees for localization problems

    Inverse Problems, 2023, ⟨10.1088/1361-6420/ad0dbb⟩

    Accès: https://hal.science/hal-03811028v2

  • National journals articles
  • 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

    Accès: https://hal.science/hal-02868899

  • National journals articles
    International conferences articles
  • 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 (ICLR 2024), May 2024, Wien, Austria. pp.1-29

    Accès: https://hal.science/hal-04464877

  • 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

    Accès: https://hal.science/hal-04425679

  • 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

    Accès: https://hal.science/hal-04271959

  • 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⟩

    Accès: https://hal.science/hal-04367084

  • 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⟩

    Accès: https://hal.science/hal-04153083

  • 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

    Accès: https://hal.science/hal-04244922

  • 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

    Accès: https://hal.science/hal-04366560

  • Elizabeth Z. C. Tan, Caroline Chaux, Emmanuel Soubies, Vincent y F Tan

    Deep Unrolling for Nonconvex Robust Principal Component Analysis

    IEEE MLSP 2023, Sep 2023, Rome, France. ⟨10.1109/MLSP55844.2023.10285962⟩

    Accès: https://hal.science/hal-04160961

  • Malek Ellouze, Romain Tajan, Camille Leroux, Christophe Jégo, Charly Poulliat

    Low-Complexity Algorithm for the Minimum Distance Properties of PAC Codes

    12th International Symposium on Topics in Coding (ISTC 2023), Sep 2023, Brest, France. pp.1-5, ⟨10.1109/ISTC57237.2023.10273572⟩

    Accès: https://hal.science/hal-04261670

  • Asma Maalaoui, Charly Poulliat, Iryna Andriyanova

    Circular QAM with Sphere Shaping and Non-binary LDPC Codes in the Finite Length Regime

    12th International Symposium on Topics in Coding (ISTC 2023), Sep 2023, Brest, France. pp.1-5, ⟨10.1109/ISTC57237.2023.10273574⟩

    Accès: https://hal.science/hal-04261632

  • National conferences articles
  • 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

    Accès: https://hal.science/hal-04264333

  • 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

    Accès: https://hal.science/hal-04138308v2

  • 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⟩

    Accès: https://hal.science/hal-04076864

  • 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

    Accès: https://hal.science/hal-04220665

  • 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

    Accès: https://hal.science/hal-03704666

  • 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

    Accès: https://hal.science/hal-02950730

  • 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

    Accès: https://hal.science/hal-02419443

  • 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

    Accès: https://hal.science/hal-02419444

  • 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

    Accès: https://hal.science/hal-02419433

  • 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

    Accès: https://hal.science/hal-02419429

  • Books
  • 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

    Accès: https://hal.science/hal-04264415

  • 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⟩

    Accès: https://hal.science/hal-04280430

  • 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

    Accès: https://hal.science/hal-03114591

  • 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

    Accès: https://hal.science/hal-02928477

  • Alexey Ozerov, Cédric Févotte, Emmanuel Vincent

    An introduction to multichannel NMF for audio source separation

    Audio Source Separation, Springer, 2018, Signals and Communication Technology

    Accès: https://inria.hal.science/hal-01631187v2

  • Cédric Févotte, Emmanuel Vincent, Alexey Ozerov

    Single-channel audio source separation with NMF: divergences, constraints and algorithms

    Audio Source Separation, Springer, 2018

    Accès: https://inria.hal.science/hal-01631185

  • Cédric Févotte, Paris Smaragdis, Nasser Mohammadiha, Gautham Jean Mysore

    Temporal extensions of nonnegative matrix factorization

    Audio Source Separation and Speech Enhancement, 2018

    Accès: https://hal.science/hal-02376817

  • 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⟩

    Accès: https://hal.science/hal-03116306

  • Books Books edition Books parts
    Thesis and HDR
  • Florentin Coeurdoux

    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⟩

    Accès: https://theses.hal.science/tel-04361477

  • Asma Maalaoui

    Design of Coded Modulation Schemes Based on Non-Binary LDPC Codes

    Other [cs.OH]. Institut National Polytechnique de Toulouse – INPT, 2023. English. ⟨NNT : 2023INPT0044⟩

    Accès: https://theses.hal.science/tel-04207433

  • Pierre-Hugo Vial

    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⟩

    Accès: https://theses.hal.science/tel-04248510

  • Vinicius Alves de Oliveira

    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⟩

    Accès: https://theses.hal.science/tel-04247558

  • Camille Castera

    Inertial and Second-order Optimization Algorithms for Training Neural Networks

    Other [cs.OH]. Institut National Polytechnique de Toulouse – INPT, 2021. English. ⟨NNT : 2021INPT0107⟩

    Accès: https://theses.hal.science/tel-04186508

  • Claire Guilloteau

    Fusion rapide d’images multispectrales et hyperspectrales en astronomie infrarouge.

    Autre [cs.OH]. Institut National Polytechnique de Toulouse – INPT, 2021. Français. ⟨NNT : 2021INPT0090⟩

    Accès: https://theses.hal.science/tel-04186373

  • Etienne Monier

    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⟩

    Accès: https://hal.science/tel-03124122

  • Maxime Vono

    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⟩

    Accès: https://theses.hal.science/tel-03143936v2

  • Baha Eddine Youcef Belmekki

    Interference modeling of wireless cooperative systems

    Networking and Internet Architecture [cs.NI]. Institut National Polytechnique de Toulouse – INPT, 2020. English. ⟨NNT : 2020INPT0052⟩

    Accès: https://theses.hal.science/tel-04166952

  • Olivier Gouvert

    Factorisation bayésienne de matrices pour le filtrage collaboratif

    Autre [cs.OH]. Institut National Polytechnique de Toulouse – INPT, 2019. Français. ⟨NNT : 2019INPT0138⟩

    Accès: https://theses.hal.science/tel-04170252

  • Reports
  • 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

    Accès: https://hal.science/hal-04427294

  • Benoît Escrig

    Concilier trois innovations curriculaires : le passage aux blocs de compétences, l’approche par compétences et l’approche programme

    [Rapport de recherche] Toulouse INP. 2020

    Accès: https://hal.science/hal-02918293

  • Reports Other publications

    team Contracts

    AcronymTitleResp. scStart-End year
    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
    AI4CODE anr Apport de l’intelligence artificielle à la conception et au décodage de codes correcteurs d’erreurs

    Charly POULLIAT
    2021 – 2025
    EVASION anr Implémentation Efficace et Optimisation de récepteurs avancés basés sur le passage de messages pour les futurs réseaux sans fil

    Charly POULLIAT
    2021 – 2025
    MICROBLIND anr Problèmes inverses aveugles et microscopie optique

    Pierre WEISS
    Emmanuel SOUBIES
    2021 – 2026
    IMAGIN anr Imagerie moléculaire active et sélective

    Nicolas DOBIGEON
    2022 – 2025
    EROSION anr Relaxations exactes pour l’optimisation parcimonieuse et de faible rang

    Emmanuel SOUBIES
    2023 – 2026
    AcronymTitleResp. scStart-End year
    FACTORY
    [Contract completed]
    auropa New paradigms for latent factor estimation

    Cédric FÉVOTTE
    2016 – 2021
    AcronymTitleResp. scStart-End year
    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
    REALISM
    [Contract completed]
    Réalité Altérée Intégrée pour Smart Mobile

    Marie CHABERT
    2015 – 2017
    Wednesday 12 June 2024, 10h00
    Binary and non-binary schemes for the Internet of Things
    Jocelyn BOURDUGE – Team SC, IRIT Toulouse INP-ENSEEIHT, Auditorium
    #these
    Thursday 8 February 2024, 14h00
    Non-orthogonal access to resources and associated reception techniques for mobile ad-hoc networks
    Adam MEKHICHE – Team SC, IRIT Site de Thales, Gennevilliers
    #these
    Friday 10 November 2023, 10h00
    Monte Carlo sampling and deep generative models for Bayesian inference
    Florentin COEURDOUX – Team SC, IRIT INP-ENSEEIHT, Amphithéâtre 001
    #these
    Friday 14 April 2023, 10h00
    Conception de schémas de modulation codés basés sur des codes LDPC non binaires
    Asma MAALAOUI – Team SC, IRIT INP-ENSEEIHT, Salle des thèses
    #these
    Tuesday 29 November 2022, 10h00
    Reconstruction de phase et de signaux audio avec des fonctions de coût non-quadratiques
    Pierre Hugo VIAL – Team SC, IRIT INP-ENSEEIHT, Salle des thèses
    #these
    Friday 21 October 2022, 10h00
    Deep learning for embedded image compression in Earth Observation
    Vinicius ALVES DE OLIVEIRA – Team SC, IRIT INP-ENSEEIHT, Salle des thèses
    #these
    Monday 29 November 2021, 10h00
    Inertial and Second-order Optimization Algorithms for Training Neural Networks
    Camille CASTERA – Team SC, IRIT INP-ENSEEIHT, Salle des thèses
    #these
    Wednesday 13 October 2021, 10h00
    Fusion rapide d’images multispectrales et hyperspectrales en astronomie infrarouge
    Claire GUILLOTEAU – Team SC, IRIT INP-ENSEEIHT, Salle des thèses
    #these
    Friday 9 October 2020, 10h00
    Reconstruction rapide d’images multi-bandes partiellement échantillonnées en spectromicroscopie EELS
    Etienne MONIER – Team SC, IRIT INP-ENSEEIHT, Salle B00 et en visioconférence
    #these
    Wednesday 7 October 2020, 10h00
    Asymptotically exact data augmentation — Models and Monte Carlo sampling with applications to Bayesian inference
    Maxime VONO – Team SC, IRIT INP-ENSEEIHT, Salle des thèses
    #these
    Tuesday 9 July 2019 – Wednesday 10 July 2019
    Colloque 2019 du Groupe Hyperspectral de la SFPT (SFPT-GH)
    INP-ENSEEIHT
    #congres Know more
    Monday 1 July 2019 – Thursday 4 July 2019
    SPARS 2019 : The Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop 2019
    INP-ENSEEIHT
    #congres Know more
    Monday 2 July 2018 – Wednesday 4 July 2018
    BNPSI 2018 : Workshop on Bayesian nonparametrics for signal and image processing
    Bordeaux
    #congres Know more
    Friday 24 June 2022, 16h00 – 17h30
    [TidDle] Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics
    Bhavin CHOKSI – CerCo (France)Milad MOZAFARI – CerCo (France) INP-ENSEEIHT, Salle des thèses
    #seminaire
    Tuesday 18 January 2022, 14h00 – 15h30
    The Art of Gaussian Processes: Classical and Contemporary
    Felipe TOBAR – Université du Chili INP-ENSEEIHT, Salle des thèses
    #seminaire
    Thursday 22 October 2020, 12h30 – 14h00
    Streaming computation of optimal weak transport barycenters
    Elsa CAZELLES – Team SC, IRIT INP-ENSEEIHT, En visioconférence
    #seminaire
    Monday 2 March 2020, 12h45 – 14h00
    What’s next in Music Streaming?
    Fabien GOUYON – Pandora/SiriusXM (Royaume-Uni) INP-ENSEEIHT, Amphi B00
    #seminaire
    Tuesday 3 December 2019, 14h00 – 15h30
    Low-rank tensor learning: state of affairs and perspectives
    José Henrique DE MORAIS GOULART – Gipsa-lab – MIAI Grenoble Alpes INP-ENSEEIHT, Salle F422
    #seminaire
    Thursday 21 February 2019, 11h00 – 12h00
    Weakly-supervised approaches for sound event detection
    Thomas PELLEGRINI – Team SAMOVA – IRIT (France) INP-ENSEEIHT, Salle des thèses
    #seminaire
    Monday 10 December 2018, 10h30 – 12h00
    Audio Signal Modeling for Source Separation – From Hand-designed to Learned Probabilistic Priors
    Simon LEGLAIVE – Inria Grenoble Rhône-Alpes INP-ENSEEIHT, Salle des thèses
    #seminaire
    Thursday 15 November 2018, 14h00 – 15h30
    Sparse coding from nonlinear compressive measurements: applications to declipping, de-quantization and 1-bit recovery
    Lucas RENCKER – University of Surrey (Royaume-Uni) INP-ENSEEIHT, Salle C103
    #seminaire
    Tuesday 16 October 2018, 17h00 – 18h00
    Fast and invariant learning for Independent Component Analysis
    Pierre ABLIN – INRIA Paris INP-ENSEEIHT, Salle F422
    #seminaire
    Monday 1 October 2018, 15h00 – 16h00
    Latest Advances in Multi-Way Low-Rank Factorization: Nonnegativity, Positive Semidefiniteness, and Joint Diagonalization
    Kazuyoshi YOSHII – Kyoto University & RIKEN (Japon) INP-ENSEEIHT, Salle C103
    #seminaire
    Wednesday 24 November 2021, 10h00
    Traitement de l’image et du signal et apprentissage automatique
    Thomas OBERLIN – Team SC, IRIT INP-ENSEEIHT, Amphi 3 de l’ISAE-SUPAERO
    #hdr
    Thursday 19 October 2023 – Friday 20 October 2023
    [GDRs RSD et ISIS] Journée Thématique sur les Réseaux Non Terrestres
    INP-ENSEEIHT, Salle C002
    #journee
    Thursday 2 September 2021 – Friday 3 September 2021
    CIMI-ANITI School on Optimisation
    UT3 Paul Sabatier, INP-ENSEEIHT & en visioconférence
    #journee
    Friday 9 October 2020
    GdR MIA Thematic day on Non-Convex Sparse Optimization
    INP-ENSEEIHT, Auditorium et via visioconférence
    #journee
    Thursday 12 September 2019
    Matinée UT1 – ENSEEIHT Institut 3IA ANITI Optimization and statistics
    INP-ENSEEIHT, Salle des thèses
    #journee
    Monday 10 September 2018 – Thursday 13 September 2018
    [LabEx CIMI] Workshop « Optimization and Learning » dans le cadre du trimestre thématique
    UT3 Paul Sabatier, Institut de Mathématiques de Toulouse (IMT), Amphi Schwarz
    #journee