Abdeldjalil Aïssa-El-Bey
- Département Mathematical and Electrical Engineering (IMT Atlantique - MEE)
- Equipe Communication System Design (Lab-STICC_COSYDE)
Présentation
Received the State Engineering degree from Ecole Nationale Polytechnique (ENP), Algiers, Algeria, in 2003, the M.S. degree in signal processing from Supelec and Paris XI University, Orsay, France, in 2004, and the Ph.D. degree in signal and image processing from ENST Paris, France, in 2007. In 2007, he joined the Signal & Communications department of IMT Atlantique (Telecom Bretagne) , Brest, France as an Associate Professor, and then Professor, since 2015. He was a Visiting Researcher at Fujitsu Laboratories, Japan and the department of Electrical and Electronic Engineering of The University of Melbourne, Australia in 2010 and 2015, respectively. His research interests are blind source separation, blind system identification and equalization, compressed sensing, sparse signal processing, statistical signal processing, wireless communications, and adaptive filtering. (Anglais)
Domaines de recherche
Publications
Publications
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A low-complexity equalizer design for OTFS modulation in doubly-dispersive channelsICASSP 2026: IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2026, Barcelona, Spain |
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Multiplicative Updates Beamforming Design for Hybrid Fully-connected Millimeter-Wave MIMO SystemsIEEE Wireless Communications and Networking Conference (WCNC), Apr 2026, Kuala Lumpur, Malaysia |
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Coefficients optimization and low-complexity equalization for OTFS-RIS systemIEEE Middle East Conference on Communications and Networking (MECOM) 2025, Nov 2025, Le caire, Egypt |
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On the Performance of Sensing Matrix Design-Based Alternating Minimization Approach for Compressive SensingThe 33rd European Signal Processing Conference, EUSIPCO 2025, Sep 2025, Palerme (Italie), Italy |
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Sparse Signal Blind Deconvolution using Bayesian MAP Estimation18th International Conference on Sensing Technology, Dec 2025, Tochigi, Japan |
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Revisiting Deep Augmented MUSIC Algorithm33rd European Signal Processing Conference (EUSIPCO 2025), Sep 2025, Palerme (Italie), Italy |
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Koopman Ensembles for Probabilistic Time Series ForecastingEUSIPCO 2024: 32nd European Signal Processing Conference, EURASIP, Aug 2024, Lyon, France. pp.2542-2546, ⟨10.23919/EUSIPCO63174.2024.10715299⟩ |
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Hybrid Beamforming Design based on Low Complexity Alternating Minimizing Solution for Millimeter Wave MIMO SystemsICAEE 2024: 3rd International Conference on Advanced Electrical Engineering, Nov 2024, Sidi-Bel-Abbès, Algeria. ⟨10.1109/ICAEE61760.2024.10783271⟩ |
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Analyzing Few-Shot Neural Architecture Search in a Metric-Driven FrameworkInternational Conference on Automated Machine Learning AutoML24, Sep 2024, Paris, France. pp.1-33 |
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Optimal partially superimposed pilot pattern for OTFS communicationVTC2024-Spring: IEEE 99th Vehicular Technology Conference, Jun 2024, Singapour, Singapore. ⟨10.1109/VTC2024-Spring62846.2024.10683167⟩ |
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Sparse Coding Techniques for Adjustable Lossy Compression of Baseband Signals in Centralized and Virtualized Communication SystemsEUSIPCO 2024: 32nd European Signal Processing Conference, Aug 2024, Lyon, France. ⟨10.23919/EUSIPCO63174.2024.10715064⟩ |
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Symbol Detection Technique for Multiuser Systems Empowered by Reconfigurable Intelligent SurfacesMECOM 2024: IEEE Middle East Conference on Communications and Networking, Nov 2024, Abu Dhabi, United Arab Emirates. ⟨10.1109/MECOM61498.2024.10881413⟩ |
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Analysis Of Deep Learning Classification Methods Of 3D Kinematic Data For Neurological Gait DisordersCongress of the European Society of Biomechanics, Jun 2024, Edinburgh, United Kingdom |
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Leveraging Neural Koopman Operators to Learn Continuous Representations of Dynamical Systems from Scarce DataICASSP 2023 - IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2023, Rhodes, Greece. ⟨10.1109/ICASSP49357.2023.10094919⟩ |
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Assimilation de données variationnelle de séries temporelles d'images Sentinel-2 avec un modèle dynamique auto-superviséGRETSI 2023 - XXIXème Colloque Francophone de Traitement du Signal et des Images, GRETSI - Groupe de Recherche en Traitement du Signal et des Images, Aug 2023, Grenoble, France |
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Multi-user generic channel equalization and sources separation for MIMO communication systemsComNet’2023: 10th IEEE International Conference on Communications and Networking, Nov 2023, Hammamet, Tunisia. ⟨10.1109/ComNet60156.2023.10366765⟩ |
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Learning Sentinel-2 reflectance dynamics for data-driven assimilation and forecastingEUSIPCO 2023 - 31st European Signal Processing Conference, EURASIP, Sep 2023, Helsinki, Finland. ⟨10.23919/EUSIPCO58844.2023.10289879⟩ |
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Neural Networks as Catalysts for Enhanced Lossless Compression in Satellite CommunicationsInternational Conference on Emerging Technologies for Communication, ICETC 2023, Nov 2023, Sapporo, Japan |
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Understanding Few-Shot Neural Architecture Search with Zero-Cost Proxies29ème Colloque Francophone de Traitement du Signal et des Images (GRETSI 2023), Aug 2023, Grenoble, France |
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Joint channel estimation and symbol detection for OTFS system using a two-stage algorithm57th Asilomar Conference on Signals, Systems, and Computers, Oct 2023, Pacific Grove, California, United States. ⟨10.1109/IEEECONF59524.2023.10477013⟩ |
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Automatic modulation classification for multi-criteria generic channel equalizationVTC2023-Spring: IEEE 97th Vehicular Technology Conference, Jun 2023, Florence, Italy. ⟨10.1109/VTC2023-Spring57618.2023.10199854⟩ |
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OTFS-IM channel estimation and data detection algorithm with a superimposed pilot patternSSP 2023: IEEE Statistical Signal Processing workshop, Jul 2023, Hanoi, Vietnam. ⟨10.1109/SSP53291.2023.10207981⟩ |
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Estimation de canal pour les systèmes OTFSGRETSI 2022 : 28ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2022, Nancy, France |
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Blind channel equalization based on Complex-valued neural network and probability density fittingIEEE International Wireless Communications and Mobile Computing Conference (IWCMC), May 2022, Dubrovnik, Croatia. ⟨10.1109/IWCMC55113.2022.9824100⟩ |
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MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN AcceleratorsIEEE international Conference on Artificial Intelligence Circuits and Systems (AICAS) 2022, Jun 2022, Incheon, South Korea. ⟨10.1109/AICAS54282.2022.9869978⟩ |
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Iterative channel estimation and data detection algorithm for OTFS modulationICASSP 2022: IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, May 2022, Singapor, Singapore. ⟨10.1109/ICASSP43922.2022.9747191⟩ |
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Alternating Hybrid Beamforming Design using GMD decomposition for mmWave MIMO-OFDM SystemsICATEEE 2022: International Conference of advanced Technology In Electronic and Electrical Engineering, Nov 2022, M'sila, Algeria. ⟨10.1109/ICATEEE57445.2022.10093704⟩ |
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Channel Estimation Using Multi-stage Compressed Sensing for Millimeter Wave MIMO SystemsVTC 2021-Spring: IEEE 93rd Vehicular Technology Conference, Apr 2021, Helsinki (virtual), Finland. ⟨10.1109/VTC2021-Spring51267.2021.9448773⟩ |
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Improving the energy-efficiency of Kalman filter using unreliable memoriesICASSP 2021: IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2021, Toronto, Canada. ⟨10.1109/ICASSP39728.2021.9413430⟩ |
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Large-Scale MIMO Receiver Based on Finite-Alphabet Sparse Detection and Concave-Convex OptimizationIEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), May 2020, Atlanta, United States. ⟨10.1109/SPAWC48557.2020.9154216⟩ |
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Improved sparse error recovery approach for detecting QAM signals in overloaded massive MIMO systemsIEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Jun 2020, Hangzhou, China. ⟨10.1109/SAM48682.2020.9104392⟩ |
Adaptive Blind Sparse Source Separation Based on Shear and Givens RotationsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2019, Brighton, United Kingdom. pp.4225 - 4229, ⟨10.1109/ICASSP.2019.8683276⟩ |
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Fast Sparse Subspace Tracking Algorithm based on Shear and Givens Rotations2019 53rd Asilomar Conference on Signals, Systems, and Computers, Nov 2019, Pacific Grove, United States. ⟨10.1109/IEEECONF44664.2019.9048883⟩ |
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Convex Combination of LMF and ZA-LMF for Variable Sparse System IdentificationAsilomar 2019 : Conference on Signals, Systems, and Computers, Nov 2019, Pacific Grove, United States. ⟨10.1109/IEEECONF44664.2019.9048873⟩ |
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A Simple ADMM Solution To Sparse-Modeling-Based Detectors For Massive MIMO Systems1st Conference on Electrical Engineering, Apr 2019, Alger, Algeria |
Low Cost Sparse Subspace Tracking Algorithm based on Shear and Givens RotationsCEE 2019: 1st Conference on Electrical Engineering, Apr 2019, Alger, Algeria |
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Adaptive Blind Identification of Sparse SIMO Channels using Maximum a Posteriori ApproachAsilomar 2018 : 52nd Conference on Signals, Systems, and Computers, Oct 2018, Pacific Grove, Ca, United States. ⟨10.1109/ACSSC.2018.8645077⟩ |
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Assimilation par Analogues de Données Altimétriques Nadir et SWOT dans la Mer Méditerranée OccidentaleConférence Française de Photogrammétrie et de Télédétection, Jun 2018, Marne-la-Vallée, France |
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Block Smoothed Sigmoid-Based Shrinkage in Time-Frequency Domain for Robust Audio DenoisingISIVC 2018 : 9th International Symposium on Signal, Image, Video and Communications, Nov 2018, Rabat, Morocco. ⟨10.1109/ISIVC.2018.8709167⟩ |
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Joint channel estimation and simplicity-based detection for large-scale MIMO FEC-coded systemsISTC 2018 : 10th International Symposium on Turbo Codes & Iterative Information Processing, Dec 2018, Honk-Kong, Hong Kong SAR China. ⟨10.1109/ISTC.2018.8625296⟩ |
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Analog data assimilation for along-track nadir and SWOT altimetry data in the Western Mediterranean SeaIEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2018, Valencia, Spain. ⟨10.1109/IGARSS.2018.8519089⟩ |
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Joint Soft Threshold and Statistical Estimation for Speech EnhancementISIVC 2018 : 9th International Symposium on Signal, Image, Video and Communications, Nov 2018, Rabat, Morocco. ⟨10.1109/ISIVC.2018.8709211⟩ |
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Turbo detection based on signal simplicity and compressed sensing for massive MIMO transmissionWCNC 2018 : IEEE Wireless Communications and Networking Conference, Apr 2018, Barcelona, Spain. ⟨10.1109/WCNC.2018.8377048⟩ |
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Low Cost Subspace Tracking Algorithms for Sparse SystemsEUSIPCO 2017 : 25th European Signal Processing Conference, Aug 2017, Kos Island, Greece. pp.1440 - 1444, ⟨10.23919/EUSIPCO.2017.8081439⟩ |
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Non-negative decomposition of geophysical dynamicsESANN 2017 : 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2017, Bruges, Belgium |
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Décomposition Non-négative de Dynamiques GéophysiquesGRETSI 2017 : 26ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2017, Juan-Les-Pins, France |
A Closed form solution for whitenning based second order blind identificationDAT 2017 : IEEE 7th Seminar on Detection Systems: Architectures and Technologies, Feb 2017, Algiers, Algeria. pp.1 - 7, ⟨10.1109/DAT.2017.7889173⟩ |
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Locally-adapted convolution-based super-resolution of irregularly-sampled ocean remote sensing dataICIP 2017 : IEEE International Conference on Image Processing, Sep 2017, Beijing, China. ⟨10.1109/ICIP.2017.8297095⟩ |
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Algorithmes de poursuite de sous-espace avec contrainte de parcimonieGRETSI 2017 : 26ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2017, Juan-Les-Pins, France |
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Combined Detection and Estimation Based on Mean-Square Error Log-Spectral Amplitude for Speech EnhancementGRETSI 2017 : 26ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2017, Juan-Les-Pins, France |
Non-negative and Sparse Decomposition of Geophysical DynamicsDSE 2017 : Data Science & Environment, Jul 2017, Brest, France |
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Non-negative decomposition of linear relationships: application to multi-source ocean remote sensing data41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Mar 2016, Shanghai, China. pp.4179-4183, ⟨10.1109/ICASSP.2016.7472464⟩ |
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Turbo Detection Based On Sparse Decomposition For Massive MIMO TransmissionISTC 2016 : 9th International symposium on Turbo Codes and Iterative Information Processing, Sep 2016, Brest, France. pp.1 - 5 |
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Sparse Canonical Correlation Analysis Based on Rank-1 Matrix Approximation and its Application for fMRI SignalsICASSP 2016 : 41st IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2016, Shanghai, China. pp.4678 - 4682 |
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Low-Complexity Half-Sparse Decomposition-based Detection for massive MIMO Transmission5th International Conference on Communications and Networking (ComNet 2015), Nov 2015, Hammamet, Tunisia. pp.1-6 |
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Low-complexity detector for very large and massive MIMO transmissionSPAWC 2015 : 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, Jun 2015, Stockholm, Sweden. pp.251 - 255, ⟨10.1109/SPAWC.2015.7227038⟩ |
Discrete solutions to underdetermined linear systems via sparse-based transformSPARS 2015 : Signal Processing with Adaptive Sparse Structured Representations Workshop, Jul 2015, Cambridge, United Kingdom |
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Blind equalization and automatic modulation classification based on PDF fittingICASSP 2015 : 40th IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2015, Brisbane, Australia. pp.2989 - 2993 |
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Reconstruction par transformation parcimonieuse de solutions à alphabet fini de systèmes linéaires sous-déterminésGRETSI 2015 : 25ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2015, Lyon, France |
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New Criteria for Blind Equalization Based on PDF FittingSPAWC 2014 : 15th IEEE International Workshop on Signal Processing Advances in Wireless Communications, Jun 2014, Toronto, Canada. pp.489 - 493 |
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Sparsity-Based Algorithms for Blind Separation of Convolutive Mixtures with Application to EMG SignalsSSP 2014 : IEEE Statistical Signal Processing Workshop, Jun 2014, Gold Coast, Australia. pp.197 - 200 |
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Precoding and Decoding in the MIMO Interference Channel for Discrete ConstellationPIMRC 2013 : IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Sep 2013, Londres, United Kingdom. pp.1157 - 1161 |
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Implémentation de complexité réduite d'un égaliseur aveugle par méthodes à noyauxGRETSI 2013 : 24ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2013, Brest, France |
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An adaptive radius blind equalization algorithm based on pdf fittingEUSIPCO 2013 : 21st European Signal Processing conference, Sep 2013, Marrakech, Morocco |
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Formation de voie pour la maximisation du débit dans les schémas d’alignement d’interférenceGRETSI 2013 : 24ème colloque du Groupement de Recherche en Traitement du Signal et des Images, Sep 2013, Brest, France |
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Exploiting the pilot pattern orthogonality of ofdma signals for the estimation of base stations number of antennasWOSSPA 2013 : The 8th International Workshop on Systems, Signal Processing and their Applications, May 2013, Mazafran, Algiers, Algeria. pp.416 - 421 |
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New decoding strategy for underdetermined mimo transmission sparse decompositionEUSIPCO 2013 : 21st European Signal Processing Conference, Sep 2013, Marrakech, Morocco |
Introducing Pilot Cyclostationarity for LTE Base Station Number of Antennas EstimationPIMRC 2012: IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications, Sep 2012, Sydney, Australia. pp.2202 - 2207, ⟨10.1109/PIMRC.2012.6362720⟩ |
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Interference Alignment: Precoding Subspaces DesignSPAWC 2012: 13th IEEE International Workshop on Signal Processing Advances in Wireless Communications, Jun 2012, Çeşme, Turkey |
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Interference alignment: improved design via precoding vectorsVTC 2012: 75th IEEE Vehicular Technology Conference, May 2012, Yokohama, Japan |
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Underdetermined Source Separation of Finite Alphabet Signals Via L1 MinimizationISSPA 2012: 11th IEEE International Conference on Information Sciences, Signal Processing and their Applications, Jul 2012, Montreal, Quebec, Canada. pp.625 - 628 |
Robust underdetermined blind audio source separation of sparse signals in the time-frequency domainICASSP 2011: 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2011, Prague, Czech Republic |
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Adaptive blind estimation of sparse SIMO channelsWOSSPA 2011: 7th International Workshop on Systems, Signal Processing and their Applications, May 2011, Tipaza, Algeria |
OFDM system identification using pilot tone signatureThe 7th International Workshop on Systems, Signal Processing and their Applications, May 2011, Tipaza, Algeria |
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Estimation du taux d'activité temps-fréquence d'un signal OFDMA pour des applications en radio-cognitiveXXIIIe colloque GRETSI: traitement du signal et des images, Sep 2011, Bordeaux, France |
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Blind and semi-blind sparse channel identification in MIMO OFDM systemsICC 2011 : IEEE International Conference on Communications, Jun 2011, Kyoto, Japan |
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Recovery of finite alphabet signals from incomplete measurementsSPARS, Jun 2011, Edimbourg, United Kingdom |
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Identification de systèmes OFDM à partir de la signature des pilotesXXIIIe colloque GRETSI : traitement du signal et des images, Sep 2011, Bordeaux, France |
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Blind estimation of the time-frequency activity rate of OFDMA signalsICUMT 2010: International Conference on Ultra Modern Telecommunications, Oct 2010, Moscou, Russia |
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Physical layer IEEE 802.11 channel occupancy rate estimationISIVC 2010: International Symposium on Images /Video Communications over fixed and Mobile Networks, Sep 2010, Rabat, Morocco |
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Robustness of blind subspace based techniques using lp quasi-normsSPAWC 2010 : 11th IEEE International Workshop on Signal Processing Advances in Wireless Communications, Jun 2010, Marrakech, Morocco |
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Sparsity hypotheses for robust estimation of the noise standard deviation in various signal processing applications.SPARS'09 - Signal Processing with Adaptive Sparse Structured Representations, Inria Rennes - Bretagne Atlantique, Apr 2009, Saint Malo, France |
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Two vertical handcover metrics toward an IEEE 802.11N networkCOGIS 2009 : Cognitive systems with Interactive Sensors, Sep 2009, Paris, France |
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Blind noise variance estimation for OFDMA signalsICASSP 2009 : 34th IEEE International Conference on Acoustics, Speech, and Signal Processing, Apr 2009, Taipei, Taiwan. pp.2581 - 2584, ⟨10.1109/ICASSP.2009.4960150⟩ |
Area of mouth opening estimation from speech acoustics using blind deconvolution techniqueAVSP 2009 : 8th International conference on auditory-visual speech processing, Sep 2009, Norwich, United Kingdom. pp.80 - 85 |
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Identification des systèmes OFDM cognitifs basée sur les signatures pilotes cyclostationnairesXXII colloque GRETSI : Groupe de recherche et d'études du traitement du signal, septembre, Dijon, France, Sep 2009, Dijon, France |
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Comparison of hybrid adaptive blind equalizers for QAM signalsSignal Processing Symposium, May 2009, Jachranka, Poland |
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Estimation de l'aire d'ouverture de la bouche à partir d'information acoustique du signal de parole en utilisant des techniques de déconvolution aveugleGRETSI 2009 : XXIIe Colloque GRETSI, Traitement du Signal et des Images, Sep 2009, Dijon, France |
Estimation aveugle du taux d'activité temps-fréquence des signaux OFDMAXXII colloque GRETSI : Groupe de recherche et d'études du traitement du signal, septembre, Dijon, France, Sep 2009, Dijon, France |
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New hybrid adaptive blind equalization algorithms for QAM signalsICASSP 2009 : 34th IEEE International Conference on Acoustics, Speech, and Signal Processing, Apr 2009, Taipei, Taiwan. pp.2809 - 2812, ⟨10.1109/ICASSP.2009.4960207⟩ |
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Blind identification of sparse SIMO channels using maximum a posteriori approachEUSIPCO 2008 : 16th European Signal Processing Conference, Aug 2009, Lausanne, Switzerland |
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OFDM system identification based on m-sequence signatures in cognitive radio contextPIMRC 2008 : 19th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Sep 2008, Cannes, France. ⟨10.1109/PIMRC.2008.4699458⟩ |
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Watermark extraction using blind image separation and sparse representationWoSPA 2008 : 5th International Workshop on Signal Processing and its Applications, Mar 2008, Sharjah, United Arab Emirates |
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Blind SIMO channel identification using a sparsity criterionSPAWC 2008 : 9th IEEE international workshop on signal processing advances in wireless communications, Jul 2008, Recife, Brazil. pp.271 - 275, ⟨10.1109/SPAWC.2008.4641612⟩ |
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Séparation aveugle sous-déterminée de sources en utilisant la décomposition en paquet d'ondelettesGRETSI 2007 : 21ème Colloque sur le traitement du signal et des images, Sep 2007, Troyes, France. pp.1289-1292 |
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Blind audio source separation using sparsity based criterion for convolutive mixture caseIndependent Component Analysis and Signal Separation (ICA), Sep 2007, Londres, United Kingdom. pp.317-324 |
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Underdetermined audio source separation using fast parametric decomposition9th International Symposium on Signal Processing and Its Applications (ISSPA), Feb 2007, Sharjah, United Arab Emirates. ⟨10.1109/ISSPA.2007.4555421⟩ |
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Underdetermined Blind Separation of Audio Sources from the Time-Frequency Representation of their Convolutive MixturesIEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr 2007, Honolulu, HI, United States. ⟨10.1109/ICASSP.2007.366639⟩ |
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Blind Image Separation using Sparse RepresentationIEEE International Conference on Image Processing (ICIP), Sep 2007, San Antonio, United States. pp.125-128, ⟨10.1109/ICIP.2007.4379262⟩ |
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ITERATIVE BLIND SOURCE SEPARATION BY DECORRELATION: ALGORITHM AND PERFORMANCE ANALYSIS14th European Signal Processing Conference (EUSIPCO), Sep 2006, Florence, Italy |
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AUDIO SOURCE SEPARATION USING SPARSITY10th IEEE International Workshop on Acoustic Echo and Noise Control (IWAENC), Sep 2006, Paris, France |
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On the identifiability testing in blind source separation using resampling techniqueIndependent Component Analysis and Blind Signal Separation (ICA), Mar 2006, Charleston, United States. pp.755-764, ⟨10.1007/11679363_94⟩ |
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Blind separation of audio sources using modal decompositionEighth International Symposium on Signal Processing and Its Applications (ISSPA), Aug 2005, Sydney, Australia. ⟨10.1109/ISSPA.2005.1580972⟩ |
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Underdetermined blind source separation of audio sources in time-frequency domainSPAR 2005 : Signal Processing with Adaptative Sparse Structured Representations, November 16-18, Rennes, France, Nov 2005, Rennes, France |
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BLIND SEPARATION OF AUDIO SOURCES CONVOLUTIVE MIXTURES USING PARAMETRIC DECOMPOSITIONInternational Workshop on Acoustic Echo and Noise Control (IWAENC), Sep 2005, Eindhoven, Netherlands. pp.161-164 |
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Blind separation of audio sources using modal decompositionISSPA 2005 : 8th IEEE International Symposium on Signal Processing and Its Applications, August 28-31, Sydney, Australia, Aug 2005, Syndney, Australia. pp.451 - 454, ⟨10.1109/ISSPA.2005.1580972⟩ |
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Underdetermined blind source seperation of non-disjoint nonstationary sources in the time-frequency domainEighth International Symposium on Signal Processing and Its Applications (ISSPA), Aug 2005, Sydney, Australia. ⟨10.1109/ISSPA.2005.1580192⟩ |
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UNDERDETERMINED BLIND SEPARATION OF AUDIO SOURCES IN TIME-FREQUENCY DOMAINSignal Processing with Adaptative Sparse Structured Representations (SPARS), Nov 2005, Rennes, France |
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Séparation aveugle sous-déterminée de sources audio par la méthode EMD (Empirical Mode Decomposition)GRETSI 2005 : 20ème Colloque sur le traitement du signal et des images, Sep 2005, Louvain-La-Neuve, Belgique |
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Blind system identification using cross-relation methods : further results and developmentsISSPA 2003 : 7th IEEE International Symposium on Signal Processing and Its Applications, Jul 2003, Paris, France. pp.649 - 652, ⟨10.1109/ISSPA.2003.1224787⟩ |
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Analog data assimilation of along-track nadir and SWOT altimetry observations in the Western Mediterranean SeaEuropean Geosciences Union (EGU) General Assembly, Apr 2018, Vienne, Austria |
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Non-negative Decomposition of Geophysical DynamicsGODAE OceanView International School 2017, Oct 2017, Palma, Spain |
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Non-negative Decomposition of Sea Surface Dynamics from Multi-source Ocean Remote Sensing DataACO 2016 : A connected ocean: new approaches, new technologies, new challenges for knowledge of ocean processes, Oct 2016, Brest, France. 52, 2016 |
Audio source localization and separation using time-frequency representationTime-Frequency Signal Analysis and Processing: A Comprehensive Reference, Elsevier, pp.502 - 509, 2015, 9780123984999 |
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Signal metrics for vertical handoff towards (Cognitive) WiMAXWIMAX, new developments, In Tech, pp.1 - 20, 2010, 9789537619534 |
A kind of underwater time service and synchronisation method.China, Patent n° : WO2011020222. 10653. 2011 |
Multisensor Time-Frequency Signal Processing Toolbox2018 |
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What Can Be Recovered Under Sparse Adversarial Corruption? Assumption-Free Theory for Linear Measurements2026 |
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Non-negative Observation-based Decomposition of Operators2018 |
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Can SWOT Improve the Reconstruction of Sea Level Anomaly Fields? Insights for Data-driven Approaches in the Western Mediterranean Sea2018 |
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Blind Identification Algorithms for Sparse SIMO Systems2014 |
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Canonical correlation analysis based on sparse penalty and through rank-1 matrix approximation[Research Report] RR-2015-01-SC, Dépt. Signal et Communications (Institut Mines-Télécom-Télécom Bretagne-UEB); Laboratoire en sciences et technologies de l'information, de la communication et de la connaissance (UMR CNRS 6285 - Télécom Bretagne - Université de Bretagne Occidentale - Université de Bretagne Sud); Department of Electrical and Electronic Engineering (Melbourne) (University of Melbourne). 2015, pp.20 |
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Estimation of Non-Stationary Noise Based on Robust Statistics in Speech Enhancement[Research Report] RR-2014-03-SC, Dépt. Signal et Communications (Institut Mines-Télécom-Télécom Bretagne-UEB); Laboratoire en sciences et technologies de l'information, de la communication et de la connaissance (UMR CNRS 6285 - Télécom Bretagne - Université de Bretagne Occidentale - Université de Bretagne Sud). 2014, pp.31 |
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Blind equalization based on pdf distance criteria and performance analysis[Research Report] Dépt. Signal et Communications (Institut Mines-Télécom-Télécom Bretagne-UEB); Laboratoire en sciences et technologies de l'information, de la communication et de la connaissance (UMR CNRS 6285 - Télécom Bretagne - Université de Bretagne Occidentale - Université de Bretagne Sud). 2013, pp.26 |
A sparse model for robust noise variance estimation and application to wideband CES interception[Research Report] Laboratoire en sciences et technologies de l'information, de la communication et de la connaissance (UMR CNRS 6285 - Télécom Bretagne - Université de Bretagne Occidentale - Université de Bretagne Sud - ENSTA Bretagne - Ecole Nationale d'ingénieurs de Brest); Dépt. Signal et Communications (Institut Mines-Télécom-Télécom Bretagne-UEB). 2009, pp.23 |
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Séparation aveugle de sources audio dans le contexte automobileTraitement du signal et de l'image [eess.SP]. Télécom ParisTech, 2007. Français. ⟨NNT : ⟩ |
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Représentations parcimonieuse et applications en communication numériqueTraitement du signal et de l'image [eess.SP]. Université de Bretagne occidentale - Brest, 2012 |