Fiche membre | Laboratoire des Sciences du Numérique de Nantes

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Sébastien BOURGUIGNON

ENSEIGNANT-CHERCHEUR

Maître de Conférences

: Sebastien.Bourguignonatls2n.fr

Page pro : http://pagesperso.ls2n.fr/~bourguignon-s

Adresse :

Centrale Nantes ( CN )
Petit Port
1, rue de la Noë
BP 92101
44321 NANTES Cedex 3

Batiment S, étage 2, bureau 207

Publications référencées sur HAL

Revues internationales avec comité de lecture (ART_INT)

[1] I. Kim, G. Ducrozet, L. Vincent, F. Bonnefoy, Y. Perignon, S. Bourguignon. A real-time wave prediction in directional wave fields: Strategies for accurate continuous prediction in time. In Ocean Engineering ; éd. Elsevier, 2024, vol. 291.
https://hal.science/hal-04327971v1

[2] J. Antoni, J. Idier, S. Bourguignon. A Bayesian interpretation of the L-curve. In Inverse Problems ; éd. IOP Publishing, 2023, vol. 39, num. 6.
https://hal.science/hal-04130724v1

[3] G. Samain, J. Ninin, S. Bourguignon. Techniques for accelerating Branch-and-Bound algorithms dedicated to sparse optimization. In Optimization Methods and Software ; éd. Taylor & Francis, 2023.
https://hal.science/hal-03661177v2

[4] R. Ben Mhenni, S. Bourguignon, J. Ninin. Global optimization for sparse solution of least squares problems. In Optimization Methods and Software ; éd. Taylor & Francis, 2022, vol. 37, num. 5.
https://ensta-bretagne.hal.science/hal-03419540v2

[5] N. Laroche, E. Carcreff, S. Bourguignon, J. Idier, A. Duclos, P. Lhuillier. Super-resolution ultrasonic imaging of close reflectors in coarse-grained steels based on a deconvolution approach. In Journal of Nondestructive Evaluation ; éd. Springer Verlag, 2022, vol. 41, num. 66.
https://hal.science/hal-03240520v1

[6] M. Alhajj, S. Bourguignon, S. Palma Lopes, G. Villain. Joint inversion of electromagnetic measurements for the determination of water saturation profiles in concrete structures. In Cement and Concrete Research ; éd. Elsevier, 2021, vol. 147.
https://hal.science/hal-03274005v1

[7] N. Laroche, S. Bourguignon, J. Idier, E. Carcreff, A. Duclos. Fast non-stationary deconvolution of ultrasonic beamformed images for nondestructive testing. In IEEE Transactions on Computational Imaging ; éd. IEEE, 2021, vol. 7.
https://hal.science/hal-03147256v1

[8] N. Laroche, S. Bourguignon, E. Carcreff, J. Idier, A. Duclos. An inverse approach for ultrasonic imaging from full matrix capture data. Application to resolution enhancement in NDT.. In IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control ; éd. Institute of Electrical and Electronics Engineers, 2020, vol. 67, num. 9.
https://hal.science/hal-02564265v1

[9] C. Friedrich, S. Bourguignon, J. Idier, Y. Goussard. Three-Dimensional Microwave Imaging: Fast and Accurate Computations with Block Resolution Algorithms. In Sensors ; éd. MDPI, 2020, vol. 20, num. 21.
https://hal.science/hal-02993406v1

[10] F. Schmidt, S. Bourguignon. Efficiency of BRDF sampling and bias on the average photometric behavior. In Icarus ; éd. Elsevier, 2019, vol. 317.
https://hal.science/hal-01901163v1

[11] J. Idier, S. Labouesse, M. Allain, P. Liu, S. Bourguignon, A. Sentenac. On the super-resolution capacity of imagers using unknown speckle illuminations. In IEEE Transactions on Computational Imaging ; éd. IEEE, 2018, vol. 4, num. 1.
https://hal.science/hal-01652762v1

[12] S. Labouesse, M. Allain, J. Idier, A. Negash, T. Mangeat, P. Liu, A. Sentenac, S. Bourguignon. Joint reconstruction strategy for structured illumination microscopy with unknown illuminations. In IEEE Transactions on Image Processing ; éd. Institute of Electrical and Electronics Engineers, 2017, vol. 26, num. 5.
https://hal.science/hal-01554090v1

[13] S. Bourguignon, J. Ninin, H. Carfantan, M. Mongeau. Exact Sparse Approximation Problems via Mixed-Integer Programming: Formulations and Computational Performance. In IEEE Transactions on Signal Processing ; éd. Institute of Electrical and Electronics Engineers, 2016, vol. 64, num. 6.
https://hal.science/hal-01254856v1

[14] D. Testa, H. Carfantan, M. Albergante, P. Blanchard, S. Bourguignon, A. Fasoli, A. Goodyear, A. Klein, J. Lister, T. Panis. Sparse representation of signals: from astrophysics to real-time data analysis for fusion plasmas and system optimization analysis for ITER and TCV. In Plasma Physics and Controlled Fusion ; éd. IOP Publishing, 2016, vol. 58, num. 12.
https://hal.science/hal-02280728v1

[15] C. Friedrich, S. Bourguignon, J. Idier, Y. Goussard. Reconstruction of 3-D Microwave Images based on a Block-BiCGStab Algorithm. In Journal of Physics: Conference Series ; éd. IOP Science, 2015, vol. 657.
https://hal.science/hal-02586231v1

[16] E. Carcreff, S. Bourguignon, J. Idier, L. Simon. A linear model approach for ultrasonic inverse problems with attenuation and dispersion. In IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control ; éd. Institute of Electrical and Electronics Engineers, 2014, vol. 61, num. 7.
https://hal.science/hal-01005337v1

[17] M. Bazot, S. Bourguignon, J. Christensen-Dalsgaard. A Bayesian approach to the modelling of α Cen A. In Monthly Notices of the Royal Astronomical Society ; éd. Oxford University Press (OUP): Policy P - Oxford Open Option A, 2012, vol. 427.
https://hal.science/hal-00807953v1

[18] S. Bourguignon, D. Mary, E. Slezak. Restoration of Astrophysical Spectra With Sparsity Constraints: Models and Algorithms. In IEEE Journal of Selected Topics in Signal Processing ; éd. IEEE, 2011, vol. 5, num. 5.
https://hal.science/hal-00980638v1

[19] P. Gaulme, M. Vannier, T. Guillot, B. Mosser, D. Mary, W. Weiss, F. Schmider, S. Bourguignon, H. Deeg, C. Régulo, S. Aigrain, J. Schneider, H. Bruntt, S. Deheuvels, J. Donati, T. Appourchaux, M. Auvergne, A. Baglin, F. Baudin, C. Catala, E. Michel, R. Samadi. Possible detection of phase changes from the non-transiting planet HD 46375b by CoRoT. In Astronomy and Astrophysics - A&A ; éd. EDP Sciences, 2010, vol. 518.
https://hal.science/hal-00630853v1

[20] S. Bourguignon, L. Berger, C. Scalabrin, R. Fablet, V. Mazauric. Methodological developments for improved bottom detection with the ME70 multibeam echosounder. In ICES Journal of Marine Science ; éd. Oxford University Press, 2009, vol. 66, num. 6.
https://hal.science/hal-01767556v1

[21] V. Trenkel, L. Berger, S. Bourguignon, M. Doray, R. Fablet, J. Masse, V. Mazauric, C. Poncelet, G. Quemeneur, C. Scalabrin, H. Villalobos. Overview of recent progress in fisheries acoustics made by Ifremer with examples from the Bay of Biscay. In Aquatic Living Resources ; éd. EDP Sciences, 2009, vol. 22, num. 4.
https://hal.science/hal-00472874v1

[22] S. Bourguignon, H. Carfantan. New methods for fitting multiple sinusoids from irregularly sampled data. In Statistical Methodology ; éd. Elsevier, 2008, vol. 5.
https://hal.science/hal-00392455v1

[23] S. Bourguignon, H. Carfantan, J. Idier. A sparsity-based method for the estimation of spectral lines from irregularly sampled data. In IEEE J. Selected Topics Sig. Proc., Issue: Convex Optimization Methods for Signal Processing, vol. 1, num. 4. 2007
https://hal.science/hal-00399459v1

[24] S. Bourguignon, H. Carfantan, T. Böhm. SparSpec : a new method for fitting multiple sinusoids with irregularly sampled data. In Astronomy and Astrophysics - A&A ; éd. EDP Sciences, 2007, vol. 462, num. 1.
https://hal.science/hal-01671927v1

[25] S. Bourguignon, H. Carfantan, T. Böhm. SparSpec: a new method for fitting multiple sinusoids with irregularly sampled data. In Astronomy and Astrophysics - A&A ; éd. EDP Sciences, 2007, vol. 462.
https://hal.science/hal-00287258v1

Conférences internationales avec comité de lecture et actes (COMM_INT)

[26] G. Samain, S. Bourguignon, J. Ninin. La dualité convexe comme accélération d'un algorithme de Branch-and-Bound dédié à l'optimisation parcimonieuse. In 23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, février 2022, Villeurbanne - Lyon, France.
https://hal.science/hal-03595309v1

[27] G. Samain, S. Bourguignon, J. Ninin. Techniques for accelerating branch-and-bound algorithms dedicated to sparse optimization. In EUROPT 19th Workshop on Advances in Continuous Optimization, juillet 2022, Lisbonne, Portugal.
https://hal.science/hal-03781296v1

[28] G. Samain, J. Ninin, S. Bourguignon. Branch-and-bound algorithm applied to sparse optimization problems: a study of some exploration strategies. In EUROPT 2021, the 18th international workshop on continuous optimization, juillet 2021, Toulouse, France.
https://hal.science/hal-03474817v1

[29] R. Ben Mhenni, S. Bourguignon, J. Idier. A Greedy Sparse Approximation Algorithm Based On L1-Norm Selection Rules. In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), mai 2020, Barcelona, Espagne.
https://hal.science/hal-02563553v1

[30] R. Ben Mhenni, S. Bourguignon, M. Mongeau, J. Ninin, H. Carfantan. Sparse Branch and Bound for Exact Optimization of L0-Norm Penalized Least Squares. In ICASSP 2020, IEEE International Conference on Acoustics, Speech and Signal Processing, mai 2020, Barcelona, Espagne.
https://hal.science/hal-02564594v1

[31] N. Laroche, E. Carcreff, J. Idier, A. Duclos, S. Bourguignon. An inverse problem framework for ultrasonic imaging in attenuative and dispersive media. In Forum Acusticum, décembre 2020, Lyon, France.
https://hal.science/hal-03235351v1

[32] M. Alhajj, G. Villain, S. Bourguignon, S. Lopes. A Joint Inversion Approach of Capacitive and Resistive Measurements for the Estimation of Water Saturation Profiles in Concrete Structures. In XV International Conference on Durability of Building Materials and Components (DBMC 2020), octobre 2020, Barcelone, Espagne.In C. Serrat (éds.), . Scipedia, 2020.
https://univ-eiffel.hal.science/hal-04533563v1

[33] R. Ben Mhenni, S. Bourguignon, J. Ninin. Global Optimization for Sparse Solution of Least Squares Problems. In ICCOPT, International Conference on Continuous Optimization, 2019, Berlin, Allemagne.
https://hal.science/hal-02584322v1

[34] R. Ben Mhenni, S. Bourguignon, J. Ninin. Global optimization of L0-norm-based sparse approximation criteria with a branch-and-bound algorithm. In SPARS, Signal Processing with Adaptive Sparse Structured Representations, 2019, Toulouse, France.
https://hal.science/hal-02583286v1

[35] M. Vono, J. Goicoechea, P. Gratier, V. Guzman, A. Hughes, J. Kainulainen, D. Languignon, J. Bourlot, F. Levrier, H. Listz, K. Öberg, E. Bron, J. Orkisz, N. Peretto, J. Pety, A. Roueff, E. Roueff, A. Sievers, V. Magalhaes, P. Tremblin, P. Chainais, F. Petit, S. Bardeau, S. Bourguignon, J. Chanussot, M. Gaudel, M. Gerin. A Fully Bayesian Approach For Inferring Physical Properties With Credibility Intervals From Noisy Astronomical Data. In WHISPERS 2019 - 10th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, septembre 2019, Amsterdam, Pays-Bas.
https://hal.science/hal-02569471v1

[36] N. Laroche, S. Bourguignon, E. Carcreff, J. Idier, A. Duclos. Fast inverse approach for the deconvolution of ultrasonic TFM images using a spatially varying PSF in NDT. In 2019 IEEE International Ultrasonics Symposium (IUS), octobre 2019, Glasgow, Royaume-Uni.
https://hal.science/hal-02563561v1

[37] M. Boudineau, S. Bourguignon, H. Carfantan. An L0 solution to sparse approximation problems with continuous dictionaries. In IEEE ICASSP, avril 2018, Calgary, Canada.
https://hal.science/hal-02052951v1

[38] R. Ben Mhenni, S. Bourguignon, J. Ninin, F. Schmidt. Spectral Unmixing with Sparsity and Structuring Constraints. In IEEE Whispers (2018) : 9th Workshop on Hyperspectral Image and Signal Processing, septembre 2018, Amsterdam, Pays-Bas.
https://hal.science/hal-02051443v1

[39] N. Laroche, E. Carcreff, S. Bourguignon, J. Idier, A. Duclos. An Inverse Approach for Ultrasonic Imaging by Total Focusing Point for Close Reflectors Separation. In 2018 IEEE International Ultrasonics Symposium (IUS), octobre 2018, Kobe, Japon.
https://hal.science/hal-02050013v1

[40] F. Schmidt, S. Bourguignon. Bias on the" average" photometric behaviour. In European Planetary Science Congress, 2017, Riga, Lettonie.
https://hal.science/hal-01818934v1

[41] N. Bouhlel, S. Bourguignon, A. Duclos, J. Groby. Characterization of poroelastic materials through interface scattering and propagation models. In 5th symposium on the Acoustics of Poro-Elasic Materials (SAPEM), 2017, Le Mans, France.
https://hal.science/hal-01818533v1

[42] S. Labouesse, A. Negash, J. Idier, S. Bourguignon, T. Mangeat, P. Liu. Fast reconstruction in blind fluorescence structured illumination microscopy. In OSA Conference : Imaging and Applied Optics, 2017, San Francisco, états-Unis.
https://hal.science/hal-02582975v1

[43] E. Carcreff, N. Laroche, S. Bourguignon, D. Braconnier. Improvement of the total focusing method using an inverse problem approach. In 2017 IEEE International Ultrasonics Symposium (IUS), septembre 2017, Washington, états-Unis.
https://hal.science/hal-01818514v1

[44] M. Boudineau, H. Carfantan, S. Bourguignon, M. Bazot. Sampling schemes and parameter estimation for nonlinear Bernoulli-Gaussian sparse models. In IEEE Statistical Signal Processing Workshop, 2016, Palma de Mallorca, Espagne.
https://hal.science/hal-02582622v1

[45] N. Bouhlel, S. Bourguignon. Deconvolution of ultrasonic signals in porous materials : Estimation of acoustic propagation parameters and wave separation. In Review of Progress in Quantitaive Nondestructive Evaluation (QNDE), 2016, Atlanta, états-Unis.
https://hal.science/hal-02582850v1

[46] P. Liu, S. Bourguignon, J. Idier, M. Allain, S. Labouesse, A. Sentenac. A marginal image reconstruction approach in fluorescence microscopy with pseudo-random illumination patterns. In OSA Conference : Imaging and Applied Optics, 2016, Heidelberg, Allemagne.
https://hal.science/hal-02582750v1

[47] S. Bourguignon, E. Carcreff, C. Lin, J. Peng. Blind sparse deconvolution of regularly spaced ultrasonic echoes for thickness measurement. In Review of Progress in Quantitative Nondestructive Evaluation (QNDE), 2016, Atlanta, états-Unis.
https://hal.science/hal-02582941v1

[48] S. Labouesse, J. Idier, P. Liu, M. Allain, S. Bourguignon, A. Sentenac. Super-resolution capacity of imagers using random illuminations. In OSA Conference : Imaging and Applied Optics, 2016, Heidelberg, Allemagne.
https://hal.science/hal-02582803v1

[49] S. Labouesse, M. Allain, A. Negash, P. Liu, A. Sentenac, J. Idier, S. Bourguignon. Fluorescence blind structured illumination microscopy: a new reconstruction strategy. In IEEE International Conference on Image Processing, septembre 2016, Phoenix, états-Unis.
https://hal.science/hal-01264977v2

[50] C. Friedrich, S. Bourguignon, J. Idier, Y. Goussard. Faster resolution of the 3-D forward problems in microwave imaging by a Partial-Block BiCGStab algorithm. In 2015 9th European Conference on Antennas and Propagation (EuCAP), avril 2015, Lisbon, Portugal.
https://hal.science/hal-01344033v1

[51] E. Carcreff, S. Bourguignon, A. Duclos, L. Simon, J. Idier. Detection of Flat Bottom Holes Using Sparse Deconvolution. In ICU 2015 International Congress on Ultrasonics, mai 2015, Metz, France.In Physics Procedia ; éd. Elsevier, 2015, vol. 70.
https://hal.science/hal-01653285v1

[52] E. Carcreff, S. Bourguignon, J. Idier, L. Simon. RESOLUTION ENHANCEMENT OF ULTRASONIC SIGNALS BY UP-SAMPLED SPARSE DECONVOLUTION. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2013), mai 2013, Vancouver, Canada.
https://hal.science/hal-00864319v1

[53] E. Carcreff, S. Bourguignon, J. Idier, L. Simon. Algorithmes de déconvolution impulsionnelle à résolution augmentée. In 24ème colloque GRETSI (2013), septembre 2013, Brest, France.
https://hal.science/hal-00877863v1

[54] J. Picaud, S. Bourguignon. Restauration de données hyperspectrales astrophysiques par approximation parcimonieuse. In GRETSI 2013, septembre 2013, Brest, France.
https://hal.science/hal-03537649v1

[55] E. Carcreff, S. Bourguignon, J. Idier, L. Simon, A. Duclos. Including frequency-dependent attenuation for the deconvolution of ultrasonic signals. In 21th International Congress on Acoustics (2013), juin 2013, Montréal, Canada.In Proceedings of meetings on acoustics ; éd. AIP/Scitation, 2013, vol. 19.
https://hal.science/hal-00877874v1

[56] F. Schmidt, S. Bourguignon, S. Le Mouélic, N. Dobigeon, E. Tréguier. Constraining Martian mineralogical compositions using hyperspectral images. In 43rd Lunar and Planetary Science Conference, mars 2012, Texas, états-Unis.
https://hal.science/hal-04240681v1

[57] Y. Shen, T. Chan, S. Bourguignon, C. Chi. SPATIAL-SPECTRAL UNMIXING OF HYPERSPECTRAL DATA FOR DETECTION AND ANALYSIS OF ASTROPHYSICAL SOURCES WITH THE MUSE INSTRUMENT. In IEEE WHISPERS, juin 2012, Shanghai, Chine.
https://hal.science/hal-00814708v1

[58] E. Carcreff, S. Bourguignon, J. Idier, L. Simon. High-resolution deconvolution applied to non destructive testing. In Acoustics 2012, avril 2012, Nantes, France.In Société Française d'Acoustique (éds.), Acoustics 2012 Nantes. , 2012.
https://hal.science/hal-00811367v1

[59] F. Schmidt, S. Bourguignon, S. Le Mouélic, N. Dobigeon, C. Theys, E. Tréguier. Accuracy and performance of linear unmixing techniques for detecting minerals on Omega/Mars Express (WHISPERS 2011). In 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), juin 2011, Lisbonne, Portugal.
https://hal.science/hal-04241317v1

[60] S. Bourguignon, C. Soussen, H. Carfantan, J. Idier. Sparse deconvolution: comparison of statistical and deterministic approaches. In IEEE Statistical Signal Processing Workshop, SSP 2011, juin 2011, Nice, France.
https://hal.science/hal-00583135v1

[61] E. Villeneuve, H. Carfantan, A. Jarno, D. Serre, V. Mazet, S. Bourguignon. Modélisation et estimation de la PSF d'un instrument hyperspectral au sol pour l'astrophysique. In GRETSI 2011, XXIIe Colloque GRETSI - Traitement du Signal et des Images, septembre 2011, Bordeaux, France.
https://hal.science/hal-01635140v1

[62] S. Bourguignon, H. Carfantan, D. Mary, E. Slezak, A. Ferrari. Restauration des cubes hyperspectraux du spectro-imageur MUSE. In Colloque GRETSI sur le traitement du signal et des images (GRETSI 2011), septembre 2011, Bordeaux, France.
https://hal.science/hal-01635150v1

[63] F. Schmidt, S. Bourguignon, S. Le Mouélic, N. Dobigeon, C. Theys, E. Tréguier. Accuracy and performance of linear unmixing techniques for detecting minerals on Omega/Mars Express ((EPSC 2011). In European Planetary Science Congress 2011, octobre 2011, Nantes, France.
https://hal.science/hal-04246299v1

[64] F. Schmidt, S. Bourguignon, S. Le Mouélic, N. Dobigeon, C. Theys, E. Tréguier. Accuracy and performance of linear unmixing techniques for detecting minerals on OMEGA/MEx. In EPSC-DPS Joint Meeting, octobre 2011, Nantes, France.
https://hal.science/hal-00667772v1

[65] R. Lefort, R. Fablet, J. Boucher, L. Berger, S. Bourguignon. Automatic fish school classification for acoustic sensing of marine ecosystems. In Oceans'08, septembre 2008, Québec, Canada.
https://hal.science/hal-02162329v1

[66] S. Bourguignon, H. Carfantan, J. Idier. Minimisation de critères de moindres carrés pénalisés par la norme l1 dans le cas complexe. In GRETSI, septembre 2007, Troyes, France.
https://hal.science/hal-00408599v1

Conférences nationales avec comité de lecture et actes (COMM_NAT)

[67] R. Ben Mhenni, S. Bourguignon, J. Ninin. Algorithme branch-and-bound pour l’approximation parcimonieuse en traitement du signal et en statistiques. In 20è conférence ROADEF, avril 2020, Montpellier, France.
https://hal.science/hal-02583235v1

[68] R. Ben Mhenni, S. Bourguignon, J. Ninin, F. Schmidt. Démélange parcimonieux et prise en compte de contraintes structurantes par optimisation globale. In 7e colloque du Groupe Hyperspectral de la Société Française de Photogrammétrie et Télédétection (SFPT-GH) 2019, juillet 2019, Toulouse, France.
https://hal.science/hal-02583353v1

[69] N. Laroche, S. Bourguignon, E. Carcreff, J. Idier, A. Duclos. Approche inverse rapide pour la déconvolution d'images ultrasonores par une PSF variable. In GRETSI, août 2019, Lille, France.
https://hal.science/hal-02280759v1

[70] R. Mhenni, S. Bourguignon, M. Mongeau, J. Ninin, H. Carfantan. Algorithme branch-and-bound pour l’optimisation exacte en norme l0. In XXVIIème Colloque francophone de traitement du signal et des images (GRETSI 2019), août 2019, Lille, France.
https://hal.science/hal-02280754v1

[71] R. Ben Mhenni, S. Bourguignon, J. Ninin, F. Schmidt. Méthodes exactes de démélange spectral en norme L0 et contraintes de parcimonie structurée à l'aide de MIP. In 19ème congrès de la ROADEF (2018), février 2018, Lorient, France.
https://hal.science/hal-02051460v1

[72] R. Ben Mhenni, S. Bourguignon, J. Ninin, F. Schmidt. Démélange parcimonieux exact dans une approche supervisée en imagerie hyperspectrale. In colloque GRETSI 2017, septembre 2017, Juan les Pins, France.
https://hal.science/hal-02051435v1

[73] P. Liu, J. Idier, S. Bourguignon, S. Labouesse, M. Allain, A. Sentenac. Minimum contrast estimation for super-resolution fluorescence microscopy using speckle patterns. In GRETSI, septembre 2017, Juan-Les-Pins, France.
https://hal.science/hal-01762453v1

[74] S. Labouesse, M. Allain, J. Idier, S. Bourguignon, P. Liu, A. Sentenac. Blind fluorescence structured illumination microscopy: A new reconstruction strategy. In Actes du 25e colloque GRETSI, 2015, Lyon, France.
https://hal.science/hal-02582220v1

[75] S. Bourguignon, J. Ninin, H. Carfantan, M. Mongeau. Programmation mixte en nombres entiers pour l’approximation parcimonieuse de signaux. In ROADEF 2015, 16ème congrès annuel de la Société Française de Recherche Opérationnelle et d’Aide à la Décision, février 2015, Marseille, France.
https://enac.hal.science/hal-01206286v1

[76] S. Bourguignon, J. Ninin, H. Carfantan, M. Mongeau. Optimisation exacte de critères parcimonieux en norme L0 par programmation mixte en nombres entiers. In GRETSI 2015, XXVe Colloque GRETSI - Traitement du Signal et des Images, septembre 2015, Lyon, France.
https://enac.hal.science/hal-01609704v1

Ouvrages - Chapitres d‘ouvrages et directions d‘ouvrages (OUV)

[77] S. Bourguignon, H. Carfantan. Line spectra estimation for irregularly sampled signals in Astrophysics. In Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing. 2015
https://hal.science/hal-02582317v1

[78] S. Bourguignon, H. Carfantan. Estimation de spectres de raies pour des signaux irrégulièrement échantillonnés en astrophysique. In Méthodes d'inversion appliquées au traitement du signal et de l'image. 01-11-2013
https://hal.science/hal-00945518v1

Theses et HDR (THESE)

[79] S. Bourguignon. Modèles et algorithmes dédiés pour la résolution de problèmes inverses parcimonieux en traitement du signal et de l'image.
https://hal.science/tel-02583976v1

[80] S. Bourguignon. Analyse spectrale à haute résolution de signaux irrégulièrement échantillonnés : application à l'Astrophysique.. Thèses : Université Paul Sabatier - Toulouse III.
https://theses.hal.science/tel-00116827v1

Autres publications (AUTRES)

[81] S. Bourguignon, J. Ninin, H. Carfantan, M. Mongeau. Optimisation globale pour la résolution de problèmes parcimonieux en norme $l_0$. In Assemblée Générale du GDR ISIS, mars 2015, Lyon, France.
https://hal.science/hal-01194776v1