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

Members team

Permanent members
Non-permanent members

publications team

International journals articles
  • Thanh-An Pham, Emmanuel Soubies, Ferréol Soulez, Michael Unser

    Optical diffraction tomography from single-molecule localization microscopy

    Optics Communications, Elsevier, 2021, 499, pp.127290. ⟨10.1016/j.optcom.2021.127290⟩

    Accès: https://hal.archives-ouvertes.fr/hal-03290069

  • Arthur Louchart, Philippe Ciblat, Charly Poulliat

    Power Allocation for Uplink Multiband Satellite Communications with Nonlinear Impairments

    IEEE Communications Letters, Institute of Electrical and Electronics Engineers, 2021, pp.1-1. ⟨10.1109/LCOMM.2021.3087408⟩

    Accès: https://hal.archives-ouvertes.fr/hal-03259427

  • Lorenzo Ortega Espluga, Charly Poulliat

    On Nested Property of Root-LDPC Codes

    IEEE Wireless Communications Letters, IEEE comsoc, 2021, 10 (5), pp.1005-1009. ⟨10.1109/LWC.2021.3054414⟩

    Accès: https://hal.archives-ouvertes.fr/hal-03245925

  • Xavier Laval, Corinne Mailhes, Nadine Martin, Pascal Bellemain, Christian Pachaud

    Amplitude and Phase Interaction in Hilbert Demodulation of Vibration Signals: Natural Gear Wear Modeling and Time Tracking for Condition Monitoring

    Mechanical Systems and Signal Processing, Elsevier, 2021, 150, pp.107321. ⟨10.1016/j.ymssp.2020.107321⟩

    Accès: https://hal.archives-ouvertes.fr/hal-02972780

  • Louis Filstroff, Olivier Gouvert, Cédric Févotte, Olivier Cappé

    A Comparative Study of Gamma Markov Chains for Temporal Non-Negative Factorization

    IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2021, ⟨10.1109/TSP.2021.3060000⟩

    Accès: https://hal.archives-ouvertes.fr/hal-02883800v3

  • Lorenzo Ortega, Charly Poulliat, Marie-Laure Boucheret, Marion Aubault Roudier, Hanaa Al-Bitar, Pau Closas

    Low Complexity Robust Data Demodulation for GNSS

    Sensors, MDPI, 2021, 21 (4), pp.1341. ⟨10.3390/s21041341⟩

    Accès: https://hal.archives-ouvertes.fr/hal-03341451

  • Elsa Cazelles, Arnaud Robert, Felipe Tobar

    The Wasserstein-Fourier Distance for Stationary Time Series

    IEEE Transactions on Signal Processing, Institute of Electrical and Electronics Engineers, 2021, 69, pp.709-721. ⟨10.1109/TSP.2020.3046227⟩

    Accès: https://hal.archives-ouvertes.fr/hal-03115531

  • Lorenzo Ortega Espluga, Jordi Vilà‐valls, Charly Poulliat, Pau Closas

    GNSS data demodulation over fading environments: Antipodal and M ‐ary CSK modulations

    IET Radar Sonar and Navigation, Institution of Engineering and Technology, 2021, 15 (2), pp.113-127. ⟨10.1049/rsn2.12017⟩

    Accès: https://hal.archives-ouvertes.fr/hal-03245922

  • Maxime Vono, Nicolas Dobigeon, Pierre Chainais

    High-dimensional Gaussian sampling: a review and a unifying approach based on a stochastic proximal point algorithm

    SIAM Review, Society for Industrial and Applied Mathematics, In press, à paraître, pp.1-53

    Accès: https://hal.archives-ouvertes.fr/hal-03319153

  • Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon

    Provably robust blind source separation of linear-quadratic near-separable mixtures

    SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, In press

    Accès: https://hal.archives-ouvertes.fr/hal-03319157

  • 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.archives-ouvertes.fr/hal-02868899

  • National journals articles
    International conferences articles
  • José Henrique de M Goulart, Phillip Mark Seymour Burt

    Volterra kernels of bilinear systems have tensor train structure

    29th European Signal Processing Conference (EUSIPCO 2021), Aug 2021, Dublin, Ireland

    Accès: https://hal.archives-ouvertes.fr/hal-03233382

  • Cassio Dantas, Emmanuel Soubies, Cédric Févotte

    Safe screening for sparse regression with the Kullback-Leibler divergence

    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2021, Toronto (virtual), Canada

    Accès: https://hal.archives-ouvertes.fr/hal-03147345v2

  • Paul Magron, Pierre-Hugo Vial, Thomas Oberlin, Cédric Févotte

    Phase recovery with Bregman divergences for audio source separation

    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2021, Toronto, Canada

    Accès: https://hal.archives-ouvertes.fr/hal-03049800v2

  • Paul Magron, Cédric Févotte

    Leveraging the structure of musical preference in content-aware music recommendation

    IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2021, Toronto, Canada

    Accès: https://hal.archives-ouvertes.fr/hal-03049798v2

  • Thanh-An Pham, Emmanuel Soubies, Ferréol Soulez, Michael Unser

    DIFFRACTION TOMOGRAPHY FROM SINGLE-MOLECULE LOCALIZATION MICROSCOPY: NUMERICAL FEASIBILITY

    IEEE 18th International Symposium on Biomedical Imaging (ISBI), Apr 2021, Nice (Virtual), France

    Accès: https://hal.archives-ouvertes.fr/hal-03184774

  • Vasiliki Stergiopoulou, José Henrique de M Goulart, Sébastien Schaub, Luca Calatroni, Laure Blanc-Féraud

    COL0RME: COvariance-based $\ell_0$ super-Resolution Microscopy with intensity Estimation

    ISBI 2021 – IEEE 18th International Symposium on Biomedical Imaging, Apr 2021, Nice / Virtual, France

    Accès: https://hal.archives-ouvertes.fr/hal-02979332

  • Dana Lahat, Cédric Févotte

    Positive Semidefinite Matrix Factorization Based on Truncated Wirtinger Flow

    European Conference on Signal Processing (EUSIPCO), Jan 2021, Virtual Amsterdam, Netherlands

    Accès: https://hal.archives-ouvertes.fr/hal-02886419

  • Shayan Aziznejad, Emmanuel Soubies, Michael Unser

    Dictionary Learning with Statistical Sparsity in the Presence of Noise

    28th European Signal Processing Conference – EUSIPCO 2020, Jan 2021, Amsterdam, Netherlands. pp.2026-2029

    Accès: https://hal.archives-ouvertes.fr/hal-02966135

  • Christophe Kervazo, Nicolas Gillis, Nicolas Dobigeon

    Successive Nonnegative Projection Algorithm for Linear Quadratic Mixtures

    28th European Signal Processing Conference (EUSIPCO 2020), EURASIP : European Association for Signal Processing, Jan 2021, Amsterdam (virtual), Netherlands. pp.1951-1955, ⟨10.23919/Eusipco47968.2020.9287788⟩

    Accès: https://hal.archives-ouvertes.fr/hal-03108191

  • Pierre-Hugo Vial, Paul Magron, Thomas Oberlin, Cédric Févotte

    Phase retrieval with Bregman divergences: Application to audio signal recovery

    International Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques (iTWIST 2020), Sébastien Bourguignon (Centrale Nantes, LS2N, Nantes, France); Cédric Herzet (INRIA Rennes, France); Jérôme Idier (CNRS, LS2N, Nantes, France); Charles Soussen (CentraleSupélec, L2S, Gif-Sur-Yvette, France), Dec 2020, Nantes (virtual), France

    Accès: https://hal.inria.fr/hal-03136486

  • National conferences articles
  • 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.archives-ouvertes.fr/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.archives-ouvertes.fr/hal-02419443

  • 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.archives-ouvertes.fr/hal-02419429

  • 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.archives-ouvertes.fr/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.archives-ouvertes.fr/hal-02419433

  • 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

    Accès: https://hal.archives-ouvertes.fr/hal-02397455

  • Dana Lahat, Christian Jutten

    Tensor and Coupled Decompositions in Block Terms: Uniqueness and Irreducibility

    SPARS 2019 – Workshop on Signal Processing with Adaptive Sparse Structured Representations, Jul 2019, Toulouse, France. pp.0

    Accès: https://hal.archives-ouvertes.fr/hal-02397453

  • 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

    Accès: https://hal.archives-ouvertes.fr/hal-02419428

  • 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

    Accès: https://hal.archives-ouvertes.fr/hal-02419442

  • 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

    Accès: https://hal.archives-ouvertes.fr/hal-02871339

  • Books
  • 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.archives-ouvertes.fr/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.archives-ouvertes.fr/hal-02928477

  • Cédric Févotte, Emmanuel Vincent, Alexey Ozerov

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

    Audio Source Separation, Springer, 2018

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

  • 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://hal.inria.fr/hal-01631187v2

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

    Temporal extensions of nonnegative matrix factorization

    Audio Source Separation and Speech Enhancement, 2018

    Accès: https://hal.archives-ouvertes.fr/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.archives-ouvertes.fr/hal-03116306

  • Books Books edition Books parts
    Thesis and HDR
  • Etienne Monier

    Reconstruction rapide d’images multi-bandes partiellement échantillonnées en spectromicroscopie EELS

    Traitement des images [eess.IV]. Toulouse INP, 2020. Français

    Accès: https://hal.archives-ouvertes.fr/tel-03124122

  • Maxime Vono

    Asymptotically exact data augmentation – Models and Monte Carlo sampling with applications to Bayesian inference

    Statistics [stat]. Institut National Polytechnique de Toulouse, 2020. English

    Accès: https://tel.archives-ouvertes.fr/tel-03143936

  • Pierre-Antoine Thouvenin

    Modeling spatial and temporal variabilities in hyperspectral image unmixing

    Signal and Image Processing. Institut national polytechnique de Toulouse (INPT), 2017. English

    Accès: https://tel.archives-ouvertes.fr/tel-01711509

  • Thesis and HDR
    • Jean-Adrien Vernhes

      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.

      BibTeX

    • Mohanad Y.S. Albughdadi

      Bayesian joint detection-estimation in functional MRI with automatic parcellation and functional constraints

      Master’s Thesis, Institut National Polytechnique de Toulouse, September 2016.

      BibTeX

    • Sébastien Combrexelle

      Analyse multifractale de données multivariées avec application à la télédétection

      Master’s Thesis, Institut National Polytechnique de Toulouse, October 2016.

      URL : https://www.theses.fr/2016INPT0078/document
      BibTeX

    • Ningning Zhao

      Deconvolution, Segmentation and Restoration of Ultrasound Images

      Master’s Thesis, Institut National Polytechnique de Toulouse, October 2016.

      BibTeX

    • Marion Roudier

      Définition de signaux et de techniques de traitement innovants pour les futurs systèmes GNSS

      Master’s Thesis, Université de Toulouse, January 2015.

      Abstract URL : https://www.theses.fr/2015INPT0044
      BibTeX

    • Nil Garcia

      Optimization Methods for Active and Passive Localization

      Master’s Thesis, Institut National Polytechnique de Toulouse, April 2015.

      URL : https://www.theses.fr/2015INPT0097/document
      BibTeX

    • Jorge Prendes

      New statistical modeling of multi-sensor images with application to change detection

      Master’s Thesis, Université Paris-Saclay, Paris, October 2015.

      BibTeX

    • Tarik Benaddi

      Sparse graph-based coding schemes for continuous phase modulations

      Master’s Thesis, Institut National Polytechnique de Toulouse, December 2015.

      URL : https://www.theses.fr/2015INPT0121/document
      BibTeX

    • Qi Wei

      Bayesian Fusion of Multi-band Images: A Powerful Tool for Super-resolution

      Master’s Thesis, Institut National Polytechnique de Toulouse, September 2015.

      URL : https://oatao.univ-toulouse.fr/14398/1/wei.pdf
      BibTeX

    • Olivier Chabiron

      Apprentissage d’Arbres de Convolutions pour la Représentation Parcimonieuse

      Master’s Thesis, Institut National Polytechnique de Toulouse, October 2015.

      BibTeX

    Reports
  • 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.archives-ouvertes.fr/hal-02918293

  • Reports Other publications

    Contracts team

    AcronymeTitreResp. scDébut – fin
    MUSICO anr Signalisation avancée à multi-dimensions et codage M-aire pour les réseaux de fibres optiques Charly POULLIAT
    2017 – 2021
    EVASION Efficient implementation and optimization of adVanced messAge paSsing-based receIvers fOr future wireless Networks Charly POULLIAT
    2021 – 2025
    SIERRA
    [Contract completed]
    autre Récepteurs et Allocation de ressources pour des systèmes cognitifs satellitaires à haute efficacité spectrale Charly POULLIAT
    2018 – 2021
    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
    KAStrion
    [Contract completed]
    autre KAStrion : Analyse électrique et vibratoire pour la maintenace préventive dans les fermes éoliennes offshore/ Corinne MAILHES
    2012 – 2016
    AcronymeTitreResp. scDébut – fin
    ERC FACTORY
    [Contract completed]
    autre New paradigms for latent factor estimation Cédric FéVOTTE
    2016 – 2021
    AcronymeTitreResp. scDébut – fin
    Thèse Adrien Lagrange : DEPICT
    [Contract completed]
    Du démélange pixellique à la classificaion thématique : Apprentissage multi-résolution pour analyse hiérarchique d’images hyperspectrales et hypertemporelles” Nicolas DOBIGEON
    2016 – 2020
    2011-073
    [Contract completed]
    TeSA MC-CSK (multi-carrier code shift keying) pour les communications par satellites Marie-Laure BOUCHERET
    2009 – 2012
    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
    Friday 27 March 2020, 10h00
    Interference Modeling of Wireless Cooperative Systems
    Baha Eddine Youcef BELMEKKI – Team SC, IRIT INP-ENSEEIHT, Salle des thèses
    #these
    Thursday 19 December 2019, 10h00
    Factorisation bayésienne de matrices pour le filtrage collaboratif
    Olivier GOUVERT – Team SC, IRIT INP-ENSEEIHT, Salle des thèses
    #these
    Thursday 5 December 2019, 10h00
    Surveillance de cibles mobiles fondée sur un réseau de drones
    Mouna ELLOUMI – Team SC, Team RMESS, IRIT INP-ENSEEIHT, Salle des thèses
    #these
    Monday 25 November 2019, 10h00
    Optimisation des Signaux pour les Evolutions GALILEO
    Lorenzo ORTEGA ESPLUGA – Team SC, IRIT INP-ENSEEIHT, Salle des thèses
    #these
    Wednesday 13 November 2019, 10h00
    Contributions to probabilistic non-negative matrix factorization – Maximum marginal likelihood estimation and Markovian temporal models
    Louis FILSTROFF – Team SC, IRIT INP-ENSEEIHT, Salle des thèses
    #these
    Wednesday 6 November 2019, 10h00
    From representation learning to thematic classification – Application to hierarchical analysis of hyperspectral images
    Adrien LAGRANGE – Team SC, IRIT INP-ENSEEIHT, Salle des thèses
    #these
    Thursday 10 October 2019, 10h00
    Advanced receivers for distributed coooperation in mobile ad hoc networks
    Serdar SAHIN – Team SC, IRIT INP-ENSEEIHT, Salle des thèses
    #these
    Tuesday 15 January 2019, 10h30
    Synchronization, detection and equalization for Continuous Phase Modulation over doubly-selective channels
    Romain CHAYOT – 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
    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
    Monday 1 October 2018, 14h00 – 15h00
    Speech Dereverberation using EM Algorithm and Kalman Filtering
    Sharon GANNOT – Bar-Ilan University (Israel) INP-ENSEEIHT, Salle C103
    #seminaire
    Friday 14 September 2018, 16h00 – 17h15
    STFT phase recovery based on sinusoidal modeling for audio source separation
    Paul MAGRON – Tampere University of Technology (Finlande) INP-ENSEEIHT, Salle des thèses
    #seminaire
    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