SC Team

Head :

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
      Related 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

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        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

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        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

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        Contracts team

        AcronymeTitreResp. scDébut – fin
        AcronymeTitreResp. scDébut – fin
        AcronymeTitreResp. scDébut – fin
        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