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
personnel of the team
- Boucheret Marie-LaureProfessor- INPT
- Chabert Marie (responsable équipe)Professor- INPT
- Coulon MartialProfessor- INPT
- Dobigeon NicolasProfessor- INPT
- Escrig BenoîtAssociate Professor- INPT
- Févotte CédricSenior Researcher- CNRS
- Mailhes CorinneProfessor- INPT
- Oberlin ThomasAssociate Professor- INPT
- Poulliat CharlyProfessor- INPT
- Soubies EmmanuelResearch Scientist- CNRS
- Thomas NathalieAssociate Professor- INPT
- Alves De Oliveira ViniciusPhD Student IRIT- INPT
- Belmekki Baha Eddine YoucefPhD Student IRIT- INPT
- Castera CamillePhD Student IRIT- CNRS
- Dervin MathieuAssociate Members- INPT
- Fraga Dantas CassioPostDoc- INPT
- Gouvert OlivierPostThèse- INPT
- Grivel JérômeResearch Engineer
- Guilloteau ClairePhD Student IRIT- INPT
- Lagrange AdrienPostThèse- INPT
- Lahat DanaPostDoc- CNRS
- Maalaoui AsmaPhD Student IRIT- INPT
- Magron PaulPostThèse- INPT
- Monier EtiennePhD Student IRIT- INPT
- Ortega Espluga LorenzoPostThèse
- Vial Pierre HugoPhD Student IRIT- INPT
- Vono MaximePhD Student IRIT- INPT
- Zhang SixinPostDoc- INPT
publications of the team
Thanh-An Pham, Emmanuel Soubies, Ahmed Ayoub, Joowon Lim, Demetri Psaltis, Michael Unser
Three-Dimensional Optical Diffraction Tomography with Lippmann-Schwinger Model
In : IEEE Transactions on Computational Imaging, IEEE Signal Processing Society, USA, (on line), 2020 (to appear).
URL : https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8970570
BibTeXAdrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon
Matrix cofactorization for joint representation learning and supervised classification – Application to hyperspectral image analysis
In : Neurocomputing, Elsevier, 2020 (to appear).
Adrien Lagrange, Mathieu Fauvel, Stéphane May, Nicolas Dobigeon
Matrix cofactorization for joint spatial-spectral unmixing of hyperspectral images
In : IEEE Transactions on Geoscience and Remote Sensing (TGRS), IEEE : Institute of Electrical and Electronics Engineers, 2020 (to appear).
Dana Lahat, Christian Jutten, Helene Chapiro
Schur’s Lemma for Coupled Reducibility and Coupled Normality
In : SIAM Journal on Matrix Analysis and Applications, Society for Industrial and Applied Mathematics (SIAM), USA, Vol. 40 N. 3, pp. 998-1021, 2019.
Emmanuel Soubies, Laure Blanc-Feraud, Gilles Aubert
New Insights on the Optimality Conditions of the l2-l0 Minimization Problem
In : Journal of Mathematical Imaging and Vision, Springer-Verlag, Heidelberg, Allemagne, Vol. ISSN 0924-9907, pp. 1-17, 2019.
Abstract URL : https://doi.org/10.1007/s10851-019-00917-9
BibTeXVinicius Ferraris, Nicolas Dobigeon, Yanna Cruz Cavalcanti, Thomas Oberlin, Marie Chabert
Coupled dictionary learning for unsupervised change detection between multimodal remote sensing images
In : Computer Vision and Image Understanding, Elsevier, Vol. 189, (on line), December 2019.
URL : https://doi.org/10.1016/j.cviu.2019.102817 – https://oatao.univ-toulouse.fr/25034/
BibTeXJessica Sodjo, Audrey Giremus, Nicolas Dobigeon, François Caron
A Bayesian nonparametric model for unsupervised joint segmentation of a collection of images
In : IEEE Access, IEEE : Institute of Electrical and Electronics Engineers, Vol. 7, pp. 12017-12018, December 2019.
Shaheera Rashwan, Nicolas Dobigeon, Walaa Sheta, Hassan Hanan
Non-linear unmixing of hyperspectral images using multiple-kernel self-organizing maps
In : IET Image Processing, IET : Institution of Engineering and Technology, Vol. 13 N. 12, pp. 2190-2195, October 2019.
Yanna Cruz Cavalcanti, Thomas Oberlin, Nicolas Dobigeon, Cédric Févotte, Simon Stute, Maria Ribeiro, Clovis Tauber
Factor analysis of dynamic PET images: beyond Gaussian noise
In : IEEE Transactions on Medical Imaging, IEEE : Institute of Electrical and Electronics Engineers, Vol. 38 N. 9, pp. 2231-2241, September 2019.
Joint Independent Subspace Analysis: Uniqueness and Identifiability
In : IEEE Transactions on Signal Processing, IEEE : Institute of Electrical and Electronics Engineers, Vol. 67 N. 3, pp. 684-699, February 2019.
Antoine Picot, David Malec, Marie Chabert, Pascal Maussion
Lifespan Modeling of Low Voltage Machines Insulation Materials
In : European Journal of Electrical Engineering, Lavoisier, Vol. 17, N. 5-6, pp. 291-306, 2016.
Jorge Prendes, Marie Chabert, Frédéric Pascal, Alain Giros, Jean-Yves Tourneret
Performance assessment of a recent change detection method for homogeneous and heterogeneous images
In : Revue Française de Photogrammétrie et de Télédétection, Société Française de Photogrammétrie et de Télédétection, France, Vol. 209, pp. 23-29, 2015.
Stéphanie Bidon, Olivier Besson, Jean-Yves Tourneret
Synthèse des traitements STAP pour la détection en environnement hétérogène
In : Traitement du Signal, GRETSI CNRS, Vol. 28, N. 1-2, pp. 81-112, 2013.
Nicolas Dobigeon, Said Moussaoui, Martial Coulon, Jean-Yves Tourneret, Alfred O. Hero
Algorithmes bayésiens pour le démélange supervisé, semi-supervisé et non-supervisé d’images hyperspectrales
In : Traitement du Signal, GRETSI CNRS, Vol. 27, N. 1, pp. 79-108, August 2010.
Florent Chatelain, André Ferrari, Jean-Yves Tourneret
Lois de Poisson mélangées multivariées : application à la détection en présence de speckle
In : Traitement du Signal, GRETSI CNRS, Vol. 26, N. 3, pp. 1-12, May 2009.
Serdar Sahin, Antonio Cipriano, Charly Poulliat, Marie-Laure Boucheret
Joint frequency domain channel estimation and equalization based on expectation propagation for single carrier transmissions (regular paper)
In : IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), Barcelona, Spain, 04/05/2020-08/05/2020, IEEE : Institute of Electrical and Electronics Engineers, (electronic medium), May 2020 (to appear).
Thanh-An Pham, Emmanuel Soubies, Michael Unser
Adaptive Regularization for Three-dimensional Optical Diffraction Tomography (regular paper)
In : IEEE International Symposium on Biomedical Imaging (ISBI 2020), Iowa, 03/04/2020, (on line), 2020 (to appear).
Abstract URL : https://hal.archives-ouvertes.fr/hal-02444659
BibTeXTensor and Coupled Decompositions in Block Terms: Uniqueness and Irreducibility (regular paper)
In : Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Toulouse, France, 01/07/2019-04/07/2019, INPT : Institut National Polytechnique de Toulouse, (electronic medium), July 2019.
URL : https://oatao.univ-toulouse.fr/25048/1/lahat_25048.pdf – https://oatao.univ-toulouse.fr/25048/
BibTeXQuentin Denoyelle, Vincent Duval, Gabriel Peyre, Emmanuel Soubies
The Sliding Frank-Wolfe Algorithm for the BLASSO (short paper)
In : Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Toulouse, 01/09/2019-04/09/2019, INPT : Institut National Polytechnique de Toulouse, (electronic medium), July 2019.
Emmanuel Soubies, Laure Blanc-Feraud, Gilles Aubert
On the Local Minimizers of the CEL0 Relaxation (short paper)
In : Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Toulouse, 01/09/2019-04/09/2019, INPT : Institut National Polytechnique de Toulouse, (electronic medium), July 2019.
Abstract URL : https://hal.archives-ouvertes.fr/hal-02263782/
BibTeXSerdar Sahin, Charly Poulliat, Antonio Cipriano, Marie-Laure Boucheret
Doubly Iterative Turbo Equalization: Optimization Through Deep Unfolding (regular paper)
In : IEEE International Conference on Personal, Indoor and Mobile Radio Communications (PIMRC 2019), Istanbul, Turkey, 08/09/2019-11/09/2019, IEEE : Institute of Electrical and Electronics Engineers, (electronic medium), September 2019 (to appear).
Etienne Monier, Thomas Oberlin, Nathalie Brun, Nicolas Dobigeon
Reconstruction of partially sampled STEM-EELS images with atomic resolution (short paper)
In : Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Toulouse, France, 01/04/2019-04/04/2019, INPT : Institut National Polytechnique de Toulouse, (electronic medium), July 2019.
Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon
Fusion of hyperspectral and multispectral infrared astronomical images (short paper)
In : Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Toulouse, France, 01/04/2019-04/04/2019, INPT : Institut National Polytechnique de Toulouse, (electronic medium), July 2019.
URL : https://oatao.univ-toulouse.fr/24985/1/guilloteau_24985.pdf – https://oatao.univ-toulouse.fr/24985/
BibTeXMaxime Vono, Nicolas Dobigeon, Pierre Chainais
On variable splitting for Markov chain Monte Carlo (regular paper)
In : Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Toulouse, France, 01/04/2019-04/04/2019, INPT : Institut National Polytechnique de Toulouse, (electronic medium), July 2019.
URL : https://oatao.univ-toulouse.fr/24984/1/vono_24984.pdf – https://oatao.univ-toulouse.fr/24984/
BibTeXAdrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon
Matrix Cofactorization for Joint Unmixing and Classification of Hyperspectral Images (regular paper)
In : European Signal Processing Conference (EUSIPCO 2019), A Coruna, Spain, 02/09/2019-06/09/2019, EURASIP, (electronic medium), September 2019.
URL : https://doi.org/10.23919/EUSIPCO.2019.8903037 – https://oatao.univ-toulouse.fr/24982/
BibTeX
Laurène Donati, Emmanuel Soubies, Michael Unser
User-friendly Building of Reconstruction Algorithms with GlobalBioIm
In : Quantitative BioImaging Conference (QBI), Oxford (UK), 06/01/2020-09/01/2020.
Joint Design of GNSS Signal and Message Structure for Galileo 2nd Generation
In : International Symposium on Navigation and Timing, TOULOUSE, 13/11/2018-16/11/2018.
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, 03/12/2012-04/12/2012 (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, 25/06/2012-28/06/2012.
MCMC algorithms for spectral unmixing
In : Atelier “Astrostatistique en France”, Grenoble, France, 08/12/2011-09/12/2011 (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, 11/09/2008-12/09/2008 (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, 09/07/2008-11/07/2008.
Segmentation Conjointe de Données Astrophysiques
In : Colloque de l’Ecole Doctorale Informatique et Télécommunications (EDIT), Toulouse, France, 11/04/2005-12/04/2005.
Invited Speaker in’ Non Linear Signal Processing with Neural Networks’
In : Communication Systems, Networks and Digital Signal Processing (CSNDSP2002), Staffordshire (UK), 15/07/2002-17/07/2002.
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, 30/09/2002-30/09/2002.
Francis Castanié, Corinne Mailhes, Eric Le Carpentier, Olivier Besson, André Ferrari, Nadine Martin, Sylvie Marcos, Rémy Boyer, Arnaud Rivoira, Gilles Fleury, Laurent Savy, François Le Chevalier, David Bonacci
Spectral Analysis: Parametric and Non-Parametric Methods, International Scientific and Technical Encyclopedia (ISTE) (Hermès), November 2005.
Francis Castanié, Olivier Besson, André Ferrari, Eric Le Carpentier, Corinne Mailhes, Sylvie Marcos, Nadine Martin
Analyse spectrale
, Hermès Lavoisier, 14,rue de Provigny 94236 Cachan cedex,France, 2003.
Cédric Févotte, Emmanuel Vincent, Alexey Ozerov
Single-channel audio source separation with NMF: divergences, constraints and algorithms
In : Audio Source Separation. Shoji Makino (Eds.) , Springer, pp. 1-24, 2018.
Alexey Ozerov, Cédric Févotte, Emmanuel Vincent
An introduction to multichannel NMF for audio source separation
In : Audio Source Separation. Shoji Makino (Eds.) , Springer, pp. 73-94, 2018.
Cédric Févotte, Paris Smaragdis, Nasser Mohammadiha, Gautham Mysore
Temporal extensions of nonnegative matrix factorization
In : Audio Source Separation and Speech Enhancement. Emmanuel Vincent, Tuomas Virtanen, Sharon Gannot (Eds.) , Wiley, (on line), 2018.
URL : https://www.wiley.com/en-us/Audio+Source+Separation+and+Speech+Enhancement-p-9781119279891
BibTeXPatrice Abry, Stéphane Jaffard, Roberto Leonarduzzi, Clothilde Melot, Herwig Wendt
New exponents for pointwise singularity classification
In : Recent Developments in Fractals and Related Fields: Conference on Fractals and Related Fields III. Stéphane Seuret, Julien Barral (Eds.) , Birkhäuser, (on line), 2017.
Nicolas Dobigeon, Yoann Altmann, Nathalie Brun, Said Moussaoui
Linear and nonlinear unmixing in hyperspectral imaging
In : Resolving spectral mixtures – With application from ultrafast time-resolved spectroscopy to superresolution imaging. Cyril Ruckebusch (Eds.) , Elsevier, pp. 185-224, September 2016.
URL : http://dx.doi.org/10.1016/B978-0-444-63638-6.00006-1
BibTeXStéphane Jaffard, Patrice Abry, Clothilde Melot, Roberto Leonarduzzi, Herwig Wendt
Multifractal analysis based on p-exponents and lacunarity exponents
In : Fractal Geometry and Stochastics V. Christoph Bandt, Kenneth J. Falconer, Martina Zähle (Eds.) , Birkhäuser, pp. 279-313, Vol. 70, 2015.
Patrice Abry, Stéphane Jaffard, Herwig Wendt
A bridge between geometric measure theory and signal processing: Multifractal analysis
In : Operator-Related Function Theory and Time-Frequency Analysis. Karlheinz Groechenig, Yurii Lyubarskii, Kristian Seip (Eds.) , Springer, pp. 1-56, Vol. 9, Abel Symposia, 1, 2015.
Stéphane Jaffard, Patrice Abry, Herwig Wendt
Irregularities and Scaling in Signal and Image Processing: Multifractal Analysis
In : Benoit Mandelbrot: A Life in Many Dimensions. Michael Frame, Nathan Cohen (Eds.) , World Scientific, 3, pp. 31-116, Vol. 1, 1, April 2015.
URL : http://www.worldscientific.com/worldscibooks/10.1142/8238
BibTeX
Synchronisation, détection et égalisation de modulation à phase continue dans des canaux sélectifs en temps et en fréquence
Master’s Thesis, Institut National Polytechnique de Toulouse, December 2018.
Modèle bayésien non paramétrique pour la segmentation jointe d’un ensemble d’images avec des classes partagées.
Master’s Thesis, Bordeaux INP, Bordeaux, September 2018.
Nouvelle forme d’onde et récepteur avancé pour la télémesure des futurs lanceurs
Master’s Thesis, Institut National Polytechnique de Toulouse, November 2018.
Récepteurs avancés et nouvelles formes d’ondes pour les communications aéronautiques
Master’s Thesis, Institut National Polytechnique de Toulouse, July 2018.
Faster-than-Nyquist Signaling for Improved Future Satellite Communications
Master’s Thesis, Institut National Polytechnique de Toulouse, October 2018.
Vinicius Ferraris Pignataro Mazzei Albert
Fusion-based change detection for remote sensing images of different resolutions and modalities
Master’s Thesis, Institut National Polytechnique de Toulouse, October 2018.
Factor analysis of dynamic PET images
Master’s Thesis, Institut National Polytechnique de Toulouse, October 2018.
Techniques d’analyse de contenu appliquées à l’imagerie spatiale
Master’s Thesis, Institut National Polytechnique de Toulouse, October 2017.
Mobile data offloading via urban public transportation networks
Master’s Thesis, Institut National Polytechnique de Toulouse, May 2017.
Bayesian M/EEG source localization with possible joint skull conductivity estimation
Master’s Thesis, Institut National Polytechnique de Toulouse, March 2017.
Marie-Laure Boucheret, Isabelle Buret, Martial Coulon, Mathieu Dervin
Utilisation de techniques détalement sélectif pour mission durgence
Contract report, 3, Institut National Polytechnique de Toulouse, March 2008.
Martial Coulon, Benoît Escrig, Daniel Roviras
Study of the Zheng-Xiao fading model
Contract report, 2, Institut National Polytechnique de Toulouse, June 2005.
Bilel Raddadi, Benjamin Gadat, Charly Poulliat, Nathalie Thomas, Marie-Laure Boucheret
Equalization method for a parsimonious communication channel and device implementing the method, Patent US9722817 B2.
August 2017.
Tarik Benaddi, Benjamin Gadat, Charly Poulliat, Marie-Laure Boucheret
Method for generating a filter bank for receiving a signal modulated by continuous phase modulation, and method for receiving said signal, Patent US9401829 B2
July 2016.
Huyen Chi Bui, Jérôme Lacan, Marie-Laure Boucheret, Guy Lesthievent
Method for transmitting data over a multiple-access communication channel (Patent)
March 2013.
URL : http://patentscope.wipo.int/search/en/WO2013037815
BibTeXBenjamin Gadat, Cyril Bergeron, Charly Poulliat, Cécile Gomez
Procédé et dispositif dadaptation de débit dun flux vidéo compressé transmis dans un environnement contraint (brevet européen déposé par THALES Communications)
2012.
Raoul Prevost, David Bonacci, Martial Coulon, Julia Lemaitre, Jean-Pierre Millerioux, Jean-Yves Tourneret
A Viterbi algorithm with conditional transitions (brevet déposé par le CNES)
December 2010.
Raoul Prevost, David Bonacci, Martial Coulon, Julia Lemaitre, Jean-Pierre Millerioux, Jean-Yves Tourneret
Multi-encodage error correction with extended trellis (brevet déposé par le CNES)
December 2010.
