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)


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
External members

publications team

International journals articles
National journals articles
International conferences articles
Conferences articles without published proceedings
  • Nicolas Dobigeon

    Bayesian linear unmixing for spectral mixture analysis

    In : International PICS 2012 Workshop on “Chemometrics in time-resolved and imaging spectroscopy – Instrumental measurements and data analysis”, Lille, France, 03/12/12-04/12/12 (invited speaker).


  • David Bonacci, Jean-Pierre Millerioux, Raoul Prevost, Julia Lemaitre, Martial Coulon, Jean-Yves Tourneret

    Advanced concepts for satellite reception of AIS messages

    In : Toulouse Space Show, Toulouse, 25/06/12-28/06/12.


  • Nicolas Dobigeon

    MCMC algorithms for spectral unmixing

    In : Atelier “Astrostatistique en France”, Grenoble, France, 08/12/11-09/12/11 (invited speaker).


  • Nicolas Dobigeon, Jean-Yves Tourneret

    Joint segmentation of wind speed and direction using a hierarchical model

    In : Workshop on change-point detection methods and applications, AgroParisTech, Paris, France, 11/09/08-12/09/08 (invited speaker).


  • Alfred O. Hero, Nicolas Dobigeon, Kyle Herrity

    Sparsity constrained image reconstruction for MRFM

    In : ARO MURI MRFM Program Progress Review, Cornell University, Ithaca, USA, 09/07/08-11/07/08.


  • Nicolas Dobigeon

    Segmentation Conjointe de Données Astrophysiques

    In : Colloque de l’Ecole Doctorale Informatique et Télécommunications (EDIT), Toulouse, France, 11/04/05-12/04/05.


  • Francis Castanié

    Invited Speaker in’ Non Linear Signal Processing with Neural Networks’

    In : Communication Systems, Networks and Digital Signal Processing (CSNDSP2002), Staffordshire (UK), 15/07/02-17/07/02.


  • Francis Castanié, Louis Lareng, Albert Alonso, Jean-Luc Weber

    Universal Remote Signal Acquisition for health (URSAFE)

    In : Réunion Scientifique de la Société Européenne de Télémédecine, Paris, 30/09/02-30/09/02.


Books Books edition Books parts
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.


  • 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.


  • Sébastien Combrexelle

    Analyse multifractale de données multivariées avec application à la télédétection

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

    URL :

  • Ningning Zhao

    Deconvolution, Segmentation and Restoration of Ultrasound Images

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


  • 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 :

  • Nil Garcia

    Optimization Methods for Active and Passive Localization

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

    URL :

  • Jorge Prendes

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

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


  • Tarik Benaddi

    Sparse graph-based coding schemes for continuous phase modulations

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

    URL :

  • 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 :

  • Olivier Chabiron

    Apprentissage d’Arbres de Convolutions pour la Représentation Parcimonieuse

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


Reports Other publications

Contracts team

AcronymeTitreResp. scDébut – fin
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 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
[Contract completed]
autre Récepteurs et Allocation de ressources pour des systèmes cognitifs satellitaires à haute efficacité spectrale Charly POULLIAT
2018 – 2021
[Contract completed]
anr Signalisation avancée à multi-dimensions et codage M-aire pour les réseaux de fibres optiques Charly POULLIAT
2017 – 2021
[Contract completed]
Monitoring the water Hyacinth Using Aster Imagery Nicolas DOBIGEON
2016 – 2018
[Contract completed]
Méthodes Bayésiennes non paramétriques pour le traitement du signal et de l’image Nicolas DOBIGEON
Herwig WENDT
2014 – 2018
[Contract completed]
autre KAStrion : Analyse électrique et vibratoire pour la maintenace préventive dans les fermes éoliennes offshore/ Corinne MAILHES
2012 – 2016
AcronymeTitreResp. scDébut – fin
[Contract completed]
autre New paradigms for latent factor estimation Cédric FÉVOTTE
2016 – 2022
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
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
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
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
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
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
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
Friday 27 March 2020, 10h00
Interference Modeling of Wireless Cooperative Systems
Baha Eddine Youcef BELMEKKI – Team SC, IRIT INP-ENSEEIHT, Salle des thèses
Thursday 19 December 2019, 10h00
Factorisation bayésienne de matrices pour le filtrage collaboratif
Olivier GOUVERT – Team SC, IRIT INP-ENSEEIHT, Salle des thèses
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
Monday 25 November 2019, 10h00
Optimisation des Signaux pour les Evolutions GALILEO
Lorenzo ORTEGA ESPLUGA – Team SC, IRIT INP-ENSEEIHT, Salle des thèses
Tuesday 9 July 2019 – Wednesday 10 July 2019
Colloque 2019 du Groupe Hyperspectral de la SFPT (SFPT-GH)
#congres Know more
Monday 1 July 2019 – Thursday 4 July 2019
SPARS 2019 : The Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop 2019
#congres Know more
Monday 2 July 2018 – Wednesday 4 July 2018
BNPSI 2018 : Workshop on Bayesian nonparametrics for signal and image processing
#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
Tuesday 18 January 2022, 14h00 – 15h30
The Art of Gaussian Processes: Classical and Contemporary
Felipe TOBAR – Université du Chili INP-ENSEEIHT, Salle des thèses
Thursday 22 October 2020, 12h30 – 14h00
Streaming computation of optimal weak transport barycenters
Elsa CAZELLES – Team SC, IRIT INP-ENSEEIHT, En visioconférence
Monday 2 March 2020, 12h45 – 14h00
What’s next in Music Streaming?
Fabien GOUYON – Pandora/SiriusXM (Royaume-Uni) INP-ENSEEIHT, Amphi B00
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
Thursday 21 February 2019, 11h00 – 12h00
Weakly-supervised approaches for sound event detection
Thomas PELLEGRINI – Team SAMOVA – IRIT (France) INP-ENSEEIHT, Salle des thèses
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
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
Tuesday 16 October 2018, 17h00 – 18h00
Fast and invariant learning for Independent Component Analysis
Pierre ABLIN – INRIA Paris INP-ENSEEIHT, Salle F422
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
Wednesday 24 November 2021, 10h00
Traitement de l’image et du signal et apprentissage automatique
Thursday 2 September 2021 – Friday 3 September 2021
CIMI-ANITI School on Optimisation
UT3 Paul Sabatier, INP-ENSEEIHT & en visioconférence
Friday 9 October 2020
GdR MIA Thematic day on Non-Convex Sparse Optimization
INP-ENSEEIHT, Auditorium et via visioconférence
Thursday 12 September 2019
Matinée UT1 – ENSEEIHT Institut 3IA ANITI Optimization and statistics
INP-ENSEEIHT, Salle des thèses
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