SAMOVAR – SAMOVAR
Telecom SudParis
9 rue Charles Fourier
91011 EVRY CEDEX

Fax : +33 (0) 1 60 76 20 80

Pr. François DESBOUVRIES

Professeur
Direction & personnel de support, SOP

francois.desbouvries[@-Code to remove to avoid SPAM-]telecom-sudparis.eu

Cliquez ici pour la version en français

François Desbouvries received the Engineer Degree in Telecommunications (1987), the Ph.D. degree in Signal and Image Processing (1991), both from Telecom Paris, France, and the Habilitation à Diriger des Recherches (HDR) in Signal Processing from the Marne la VallÊe University, France (2001). He is a full Professor at Telecom SudParis.

His areas of interest are statistical signal processing and data science, and in particular Bayesian statistics and inference in hidden data models, sequential Monte Carlo methods, and variational inference.

François Desbouvries is an IEEE Senior Member (2007). From 2014 to 2018 he has been an Associate Editor of the IEEE Transactions on Signal Processing journal.

From 2014 to 2017 he has been a member of ANR (the French main funding agency) scientific committees (responsible for evaluation and ranking of grant applications).

From 2019 to 2023 he has been one of the Associate Scientific Directors of “GdR ISIS” (Information, Signal, Image and Vision) in charge of the topic “Methods and models in signal processing” (GDR ISIS is a CNRS-funded national network with ~3000 members from 150 research labs, and an important structure devoted to fostering and advancing signal & image processing in France).

From 2008 to 2019 he has been the head of the “Information processing for images and communications” team of the SAMOVAR lab (~ 20 researchers).

Since 2020, he has been the Director of the SAMOVAR lab (104 permanent researchers. SAMOVAR is a laboratory specialized in Information and communication sciences and technologies, and is one of the 32 labs of the Research Center of the Institut Polytechnique de Paris).

Article dans une revue

2024

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Elouan Argouarc’H, François Desbouvries. Binary classification based Monte Carlo simulation. IEEE Signal Processing Letters, 2024, 31, pp.1449-1453. ⟨10.1109/LSP.2024.3396403⟩. ⟨hal-04591977⟩
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https://hal.science/hal-04591977/file/SPL-37496-2023.R1%20-%20reduced.pdf BibTex

2023

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François Desbouvries, Yohan Petetin, Achille SalaĂźn. Expressivity of hidden Markov chains vs. Recurrent neural networks from a system theoretic viewpoint. IEEE Transactions on Signal Processing, 2023, 71, pp.4178-4191. ⟨10.1109/TSP.2023.3328108⟩. ⟨hal-03746170⟩
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https://hal.science/hal-03746170/file/main.pdf BibTex

2021

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Yohan Petetin, Yazid Janati, François Desbouvries. Structured variational Bayesian inference for Gaussian state-space models with regime switching. IEEE Signal Processing Letters, 2021, 28, pp.1953-1957. ⟨10.1109/LSP.2021.3113279⟩. ⟨hal-03348244⟩
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2018

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Roland Lamberti, Yohan Petetin, François Desbouvries, François Septier. Semi-independent resampling for particle filtering. IEEE Signal Processing Letters, 2018, 25 (1), pp.130 – 134. ⟨10.1109/LSP.2017.2775150⟩. ⟨hal-01670395⟩
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https://hal.science/hal-01670395/file/1710.05407.pdf BibTex

2017

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Roland Lamberti, Yohan Petetin, François Desbouvries, François Septier. Independent resampling sequential Monte Carlo algorithms. IEEE Transactions on Signal Processing, 2017, 65 (20), pp.5318 – 5333. ⟨10.1109/TSP.2017.2726971⟩. ⟨hal-01593422⟩
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https://hal.science/hal-01593422/file/1607.05758.pdf BibTex

2015

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Yohan Petetin, François Desbouvries. Bayesian conditional Monte Carlo Algorithm for nonlinear time-series state estimation. IEEE Transactions on Signal Processing, 2015, 63 (14), pp.3586 – 3598. ⟨10.1109/TSP.2015.2423251⟩. ⟨hal-01255022⟩
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https://hal.science/hal-01255022/file/article_YohanPetetin.pdf BibTex

2014

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Noufel Abbassi, StĂŠphane Derrode, François Desbouvries, Yohan Petetin, Wojciech Pieczynski. Filtrage statistique optimal rapide dans des systèmes linĂŠaires Ă  sauts non stationnaires. Traitement du Signal, 2014, 31 (3-4), pp.339-361. ⟨10.3166/TS.31.1-23⟩. ⟨hal-01157813⟩
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https://hal.science/hal-01157813/file/TS2014.pdf BibTex
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Yohan Petetin, François Desbouvries. A class of fast exact Bayesian filters in dynamical models with jumps. IEEE Transactions on Signal Processing, 2014, 62 (14), pp.3643 – 3653. ⟨10.1109/TSP.2014.2329265⟩. ⟨hal-01262437⟩
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https://hal.science/hal-01262437/file/arXiv_1310.0226.pdf BibTex
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Yohan Petetin, Mark Morelande, François Desbouvries. Marginalized particle PHD filters for multiple object Bayesian filtering. IEEE Transactions on Aerospace and Electronic Systems, 2014, 50 (2), pp.1182 – 1196 ⟨10.1109/TAES.2014.120805⟩. ⟨hal-01264791⟩
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2013

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Yohan Petetin, François Desbouvries. Bayesian multi-object filtering for pairwise Markov chains. IEEE Transactions on Signal Processing, 2013, 61 (18), pp.4481 – 4490. ⟨10.1109/TSP.2013.2271751⟩. ⟨hal-01263075⟩
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Yohan Petetin, François Desbouvries. Optimal SIR algorithm vs. fully adapted auxiliary particle filter : a non asymptotic analysis. Statistics and Computing, 2013, 23 (6), pp.759-775. ⟨10.1007/s11222-012-9345-5⟩. ⟨hal-00862193⟩
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2012

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NoĂŠmie Bardel, François Desbouvries. Exact bayesian prediction in a class of Markov-switching models. Methodology and Computing in Applied Probability, 2012, 14 (1), pp.125-134. ⟨10.1007/s11009-010-9189-4⟩. ⟨hal-00659591⟩
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2011

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Boujemaa Ait-El-Fquih, François Desbouvries. Fixed-interval Kalman smoothing algorithms in singular state-space systems. Journal of Signal Processing Systems, 2011, 65 (3), pp.469 – 478. ⟨10.1007/s11265-010-0532-3⟩. ⟨hal-01303653⟩
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François Desbouvries, Yohan Petetin, Boujemaa Ait-El-Fquih. Direct, prediction- and smoothing-based Kalman and particle filter algorithms. Signal Processing, 2011, 91 (8), pp.2064 – 2077. ⟨10.1016/j.sigpro.2011.03.013⟩. ⟨hal-01354694⟩
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2010

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Alberto Gaspar Guimaraes, Boujemaa Ait-El-Fquih, François Desbouvries. A fixed-lag particle smoother for blind SISO equalization of time-varying channels. IEEE Transactions on Wireless Communications, 2010, 9 (2), pp.512 – 516. ⟨10.1109/TWC.2010.02.081694⟩. ⟨hal-01332852⟩
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2008

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Boujemaa Ait-El-Fquih, François Desbouvries. On Bayesian fixed-interval smoothing algorithms. IEEE Transactions on Automatic Control, 2008, 53 (10), pp.2437 – 2442. ⟨10.1109/TAC.2008.2007858⟩. ⟨hal-01465796⟩
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2005

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François Desbouvries, Jean Lecomte. Multiscale Bayesian restoration in pairwise Markov trees. IEEE Transactions on Automatic Control, 2005, 50 (8), pp.1185 – 1190. ⟨10.1109/TAC.2005.852552⟩. ⟨hal-01347781⟩
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2003

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François Desbouvries, Wojciech Pieczynski. Modèles de Markov triplet et filtrage de Kalman. Comptes Rendus. MathĂŠmatique, 2003, 336 (8), pp.667 – 670. ⟨10.1016/S1631-073X(03)00152-3⟩. ⟨hal-01347766⟩
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François Desbouvries. Non-Euclidean geometrical aspects of the Schur and Levinson-SzegĂś algorithms. IEEE Transactions on Information Theory, 2003, 49 (8), pp.1992 – 2003. ⟨10.1109/TIT.2003.814478⟩. ⟨hal-01347779⟩
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2002

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Walid Hachem, François Desbouvries, Philippe Loubaton. A MIMO channel blind identification algorithm in the presence of spatially correlated noise. IEEE Transactions on Signal Processing, 2002, 50 (3), pp.651-661. ⟨hal-00621712⟩
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2000

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Walid Hachem, François Desbouvries, Philippe Loubaton. Identification of certain Noisy MA Models : New Results. Systems and Control Letters, 2000, 39 (1), pp.237-43. ⟨hal-00621713⟩
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1999

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François Desbouvries, Philippe Loubaton. On the identification of certain rational transfer functions from truncated autocovariance sequences. IEEE Transactions on Automatic Control, 1999, 44 (5), pp.1078-1081. ⟨hal-00621707⟩
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Communication dans un congrès

2023

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Elouan Argouarc’H, François Desbouvries, Eric Barat, Eiji Kawasaki, Thomas Dautremer. Apprentissage bayĂŠsien semi-supervisĂŠ par modĂŠlisation gĂŠnĂŠrative. GRETSI 2023 – XXIXème Colloque Francophone de Traitement du Signal et des Images (GRETSI ), Aug 2023, Grenoble, France. ⟨hal-04316579⟩
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https://hal.science/hal-04316579/file/2023_argouarch1365.pdf BibTex

2022

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Elouan Argouarc’H, François Desbouvries, Eric Barat, Eiji Kawasaki, Thomas Dautremer. Flots stochastiques discrets. GRETSI 2022 – XXVIIIème Colloque Francophone de Traitement du Signal et des Images (GRETSI ), Sep 2022, Nancy, France. pp.849-852. ⟨hal-04316616⟩
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https://hal.science/hal-04316616/file/argouarch1049-2.pdf BibTex

2019

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Achille SalaĂźn, Yohan Petetin, François Desbouvries. Comparing the modeling powers of RNN and HMM. ICMLA 2019: 18th International Conference on Machine Learning and Applications, Dec 2019, Boca Raton, FL, United States. pp.1496-1499. ⟨hal-02387002⟩
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https://hal.science/hal-02387002/file/2019-icmla.pdf BibTex

2018

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Roland Lamberti, Yohan Petetin, François Septier, François Desbouvries. A double proposal normalized importance sampling estimator. SSP 2018: IEEE Statistical Signal Processing Workshop, Jun 2018, Freiburg, Germany. pp.238 – 242, ⟨10.1109/SSP.2018.8450849⟩. ⟨hal-01870199⟩
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https://hal.science/hal-01870199/file/2018-ssp-roland.pdf BibTex

2017

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Roland Lamberti, François Desbouvries, François Septier, Yohan Petetin. RĂŠĂŠchantillonnage indĂŠpendant et semi-indĂŠpendant pour le filtrage particulaire. XXVIème Colloque GRETSI, Sep 2017, Juan-Les-Pins, France. ⟨hal-01679000⟩
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2016

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Roland Lamberti, Yohan Petetin, François Septier, François Desbouvries. Particle filters with independent resampling. ICASSP 2016 : 41st International Conference on Acoustics, Speech and Signal Processing, Mar 2016, Shanghai, China. pp.3994 – 3998, ⟨10.1109/ICASSP.2016.7472427⟩. ⟨hal-01341157⟩
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Roland Lamberti, Yohan Petetin, François Septier, François Desbouvries. An improved SIR-based sequential Monte Carlo algorithm. 2016 IEEE Workshop on Statistical Signal Processing (SSP 16), Jun 2016, Palma de Mallorca, Spain. ⟨hal-01359095⟩
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2015

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Yohan Petetin, François Desbouvries. Un algorithme d’estimation non supervisĂŠe dans des modèles Markoviens Ă  sauts. Gretsi 2015 : XXVe colloque Gretsi, Sep 2015, Lyon, France. ⟨hal-01255026⟩
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https://hal.science/hal-01255026/file/article_YohanPetetin_2015-gretsi.pdf BibTex

2014

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Yohan Petetin, François Desbouvries. Exact Bayesian estimation in constrained Triplet Markov Chains. 2014 MLSP : IEEE International Workshop on Machine Learning for Signal Processing, Sep 2014, Reims, France. ⟨10.1109/MLSP.2014.6958847⟩. ⟨hal-01262438⟩
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https://hal.science/hal-01262438/file/article_YohanPetetin_Exact%20Bayesian%20estimation.pdf BibTex

2013

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Yohan Petetin, François Desbouvries. Un nouvel algorithme de filtrage dans les modèles de Markov Ă  saut linĂŠaires et Gaussiens. XXIVème Colloque Gretsi, Sep 2013, Brest, France. ⟨hal-00867111⟩
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Yohan Petetin, Mark Morelande, François Desbouvries. Filtrage particulaire marginalisĂŠ pour la poursuite multi-objets. XXIVème Colloque Gretsi, Sep 2013, Brest, France. ⟨hal-00867104⟩
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Wojciech Pieczynski, StĂŠphane Derrode, Noufel Abbassi, Yohan Petetin, François Desbouvries. Exact optimal filtering in an approximating switching system. TAIMA 2013 : Traitement et Analyse de l’Information MĂŠthodes et Applications, May 2013, Hammamet, Tunisia. ⟨hal-01461574⟩
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2012

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Yohan Petetin, François Desbouvries. A semi-exact sequential Monte Carlo filtering algorithm in hidden Markov chains. ISSPA ’12 : The 11th International Conference on Information Sciences, Signal Processing and their Applications, Jul 2012, Montreal, Canada. pp.595-600, ⟨10.1109/ISSPA.2012.6310621⟩. ⟨hal-00765899⟩
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Yohan Petetin, François Desbouvries. A mixed GM/SMC implementation of the probability hypothesis density filter. ISSPA ’12 : The 11th International Conference on Information Sciences, Signal Processing and their Applications, Jul 2012, Montreal, Canada. pp.425-430, ⟨10.1109/ISSPA.2012.6310588⟩. ⟨hal-00765490⟩
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Yohan Petetin, François Desbouvries. Further Rao-Blackwellizing an already Rao-Blackwellized algorithm for jump Markov state space systems. ISSPA ’12 : The 11th International Conference on Information Sciences, Signal Processing and their Applications, Jul 2012, Montreal, Canada. pp.706-711, ⟨10.1109/ISSPA.2012.6310644⟩. ⟨hal-00765888⟩
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Yohan Petetin, François Desbouvries. Multi-object filtering for pairwise Markov chains. ISSPA ’12 : The 11th International Conference on Information Sciences, Signal Processing and their Applications, Jul 2012, Montreal, Canada. pp.348 -353, ⟨10.1109/ISSPA.2012.6310573⟩. ⟨hal-00765497⟩
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Yohan Petetin, François Desbouvries. Marginalized PHD filters for multi-target filtering. ISSPA ’12 : The 11th International Conference on Information Sciences, Signal Processing and their Applications, Jul 2012, Montreal, Canada. pp.419-424, ⟨10.1109/ISSPA.2012.6310587⟩. ⟨hal-00765488⟩
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2011

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François Desbouvries, Yohan Petetin, Emmanuel Monfrini. Filtrage particulaire optimal et filtrage particulaire auxiliaire adaptĂŠ : une analyse non asymptotique. GRETSI 2011 : XXIIIe Colloque, Sep 2011, Bordeaux, France. ⟨hal-01347966⟩
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François Desbouvries, Yohan Petetin, Emmanuel Monfrini. A non asymptotical analysis of the optimal SIR algorithm vs. the fully adapted auxiliary particle filter. SSP 2011 : Statistical Signal Processing Workshop, Jun 2011, Nice, France. pp.213 – 216, ⟨10.1109/SSP.2011.5967662⟩. ⟨hal-01354690⟩
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François Desbouvries, Yohan Petetin, Emmanuel Monfrini. Optimal SIR algorithm vs. fully adapted auxiliary particle filter : a matter of conditional independence. ICASSP 2011 : International Conference on Acoustics, Speech and Signal Processing, May 2011, Prague, Czech Republic. pp.3992 – 3995, ⟨10.1109/ICASSP.2011.5947227⟩. ⟨hal-01304056⟩
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Yohan Petetin, François Desbouvries. A particle smoothing implementation of the fully-adapted auxiliary particle filter : an alternative to auxiliary particle filters. SSP 2011 : Statistical Signal Processing Workshop, Jun 2011, Nice, France. pp.217 – 220, ⟨10.1109/SSP.2011.5967663⟩. ⟨hal-01354688⟩
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2010

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NoĂŠmie Bardel, Noufel Abbassi, François Desbouvries, Wojciech Pieczynski, FrĂŠdĂŠric Barbaresco. A bayesian filtering algorithm in jump Markov systems with application to track-before-detect. Radar 2010 : IEEE International Radar Conference, May 2010, Washington, United States. pp.1397 – 1402, ⟨10.1109/RADAR.2010.5494397⟩. ⟨hal-01306300⟩
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Yohan Petetin, François Desbouvries. Direct vs. indirect sequential Monte-Carlo filters. SMTDA 2010 : Stochastic Modeling Techniques and Data Analysis International Conference, Jun 2010, Chania, Greece. pp.121 – 128. ⟨hal-01306303⟩
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2009

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Boujemaa Ait-El-Fquih, François Desbouvries. Bayesian fixed-interval smoothing algorithms in singular state-space systems. MLSP 2009 : IEEE International workshop on Machine Learning for Signal Processing, Sep 2009, Grenoble, France. pp.1 – 5, ⟨10.1109/MLSP.2009.5306257⟩. ⟨hal-01366530⟩
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NoĂŠmie Bardel, François Desbouvries. Exact bayesian restoration in non-gaussian Markov-switching trees. S. Co. 2009 : Complex Data Modeling and Computationally Intensive Statistical Methods for Estimation and Prediction , Sep 2009, Milan, Italy. ⟨hal-01365913⟩
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https://hal.science/hal-01365913/file/viewpaper.pdf BibTex
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NoĂŠmie Bardel, François Desbouvries. Exact bayesian prediction in non-gaussian Markov-switching model. ASMDA 2009 : XIIIth International Conference on Applied Stochastic Models and Data Analysis, Jun 2009, Vilnius, Lithuania. pp.199 – 202. ⟨hal-01367823⟩
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Wojciech Pieczynski, François Desbouvries. Exact Bayesian smoothing in triplet switching Markov chains. S. Co. 2009 : Complex Data Modeling and Computationally Intensive Statistical Methods for Estimation and Prediction , Sep 2009, Milan, Italy. ⟨hal-01365911⟩
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https://hal.science/hal-01365911/file/C94.pdf BibTex

2008

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Boujemaa Ait-El-Fquih, François Desbouvries. A new particle filtering algorithm with structurally optimal importance function. ICASSP 2008 : IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2008, Las Vegas, United States. pp.3413 – 3416, ⟨10.1109/ICASSP.2008.4518384⟩. ⟨hal-01393479⟩
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François Desbouvries, Boujemaa Ait-El-Fquih. Direct versus prediction-based particle filter algorithms. MLSP 2008 : IEEE International Workshop on Machine Learning for Signal Processing, Oct 2008, CancĂşn, Mexico. pp.303 – 308, ⟨10.1109/MLSP.2008.4685497⟩. ⟨hal-01394346⟩
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François Desbouvries, Boujemaa Ait-El-Fquih. Direct, prediction-based and smoothing-based particle filter algorithms. IASC 2008 : 4th World Conference of the International Association for Statistical Computing, Dec 2008, Yokohama, Japan. pp.384 – 393. ⟨hal-01375570⟩
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Alberto Gaspar Guimaraes, Boujemaa Ait-El-Fquih, François Desbouvries. A fixed-lag particle smoothing algorithm for the blind turbo equalization of time-varying channels. ICASSP 2008 : IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2008, Las Vegas, United States. pp.2917 – 2920, ⟨10.1109/ICASSP.2008.4518260⟩. ⟨hal-01378683⟩
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2006

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Boujemaa Ait-El-Fquih, François Desbouvries. Exact and approximate bayesian smoothing algorithms in partially observed Markov chains. 2006 IEEE Nonlinear Statistical Signal Processing Workshop (NSSPW), Sep 2006, Cambridge, France. pp.148-151, ⟨10.1109/NSSPW.2006.4378841⟩. ⟨hal-04415380⟩
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https://hal.science/hal-04415380/file/nsspw06.pdf BibTex
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Boujemaa Ait-El-Fquih, François Desbouvries. Bayesian Smoothing Algorithms in Partially Observed Markov Chains. Bayesian Inference and Maximum Entropy Methods In Science and Engineering, Jul 2006, Paris, France. pp.339-346, ⟨10.1063/1.2423292⟩. ⟨hal-04415416⟩
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https://hal.science/hal-04415416/file/maxent-smoothing.pdf BibTex
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François Desbouvries. Entropy Computation in Partially Observed Markov Chains. Bayesian Inference and Maximum Entropy Methods In Science and Engineering, MaxEnt, Jul 2006, Paris, France. pp.355-357, ⟨10.1063/1.2423294⟩. ⟨hal-04415402⟩
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https://hal.science/hal-04415402/file/maxent-fd.pdf BibTex
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B.A. El Fquih, François Desbouvries. Unsupervised Signal Restoration in Partially Observed Markov Chains. 2006 IEEE International Conference on Acoustics Speed and Signal Processing, IEEE, May 2006, Toulouse, France. pp.III-13-III-16, ⟨10.1109/ICASSP.2006.1660578⟩. ⟨hal-04415440⟩
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https://hal.science/hal-04415440/file/icassp2006.pdf BibTex

2005

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Boujemaa Ait El Fquih, François Desbouvries. Kalman Filtering for Triplet Markov Chains : Applications and Extensions. (ICASSP ’05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., Mar 2005, Philadelphia, France. pp.685-688, ⟨10.1109/ICASSP.2005.1416101⟩. ⟨hal-04415489⟩
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https://hal.science/hal-04415489/file/icassp2005.pdf BibTex
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Boujemaa Ait El Fquih, François Desbouvries. Filtrages de Kalman et particulaire dans les ChaĂŽnes de Markov Triplet. Gretsi, Sep 2005, Louvain-la-Neuve, Belgique. ⟨hal-04415456⟩
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https://hal.science/hal-04415456/file/gretsi2005.pdf BibTex
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B. Ait-El-Fquih, François Desbouvries. Bayesian smoothing algorithms in pairwise and triplet markov chains. 2005 IEEE workshop on Statistical Signal Processing (SSP), IEEE, Jul 2005, Bordeaux, France. pp.721-726, ⟨10.1109/SSP.2005.1628688⟩. ⟨hal-04415465⟩
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https://hal.science/hal-04415465/file/ssp-bordeaux.pdf BibTex
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Wojciech Pieczynski, François Desbouvries. On Triplet Markov Chains. ASMDA, May 2005, Brest, France. ⟨hal-04415484⟩
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https://hal.science/hal-04415484/file/asmda-wp.pdf BibTex

2004

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François Desbouvries, Jean Lecomte. MULTISCALE BAYESIAN ESTIMATION IN PAIRWISE MARKOV TREES. European Signal Processing Conference (Eusipco), Sep 2004, Vienna (Austria), Austria. ⟨hal-04415515⟩
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https://hal.science/hal-04415515/file/eusipco2004-rts-web.pdf BibTex
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Jean Lecomte, François Desbouvries, Wojciech Pieczynski. A MULTISCALE SMOOTHING ALGORITHM FOR PAIRWISE MARKOV TREES. sixth IMA International Conference on Mathematics in Signal Processing, Dec 2004, Cirencester, United Kingdom. ⟨hal-04415504⟩
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https://hal.science/hal-04415504/file/papier-ima-web.pdf BibTex

2003

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François Desbouvries, Wojciech Pieczynski. PARTICLE FILTERING IN PAIRWISE AND TRIPLET MARKOV CHAINS. IEEE – EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP 2003), IEEE & EURASIP, Jun 2003, Grado-Gorizia, Italy. ⟨hal-04415536⟩
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https://hal.science/hal-04415536/file/nsip2003-wp.pdf BibTex
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François Desbouvries, W. Pieczynski. Particle filtering with pairwise Markov processes. International Conference on Acoustics, Speech and Signal Processing (ICASSP’03), IEEE, Apr 2003, Hong Kong, China. pp.VI-705-8, ⟨10.1109/ICASSP.2003.1201779⟩. ⟨hal-04415543⟩
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https://hal.science/hal-04415543/file/icassp2003-particle.pdf BibTex
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Emmanuel Monfrini, Jean Lecomte, François Desbouvries, Wojciech Pieczynski. IMAGE AND SIGNAL RESTORATION USING PAIRWISE MARKOV TREES. IEEE Workshop on Statistical Signal Processing, 2003, IEEE, Sep 2003, St. Louis, United States. pp.174-177, ⟨10.1109/SSP.2003.1289372⟩. ⟨hal-04415528⟩
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https://hal.science/hal-04415528/file/ssp03-StLouis-wp.pdf BibTex
ref_biblio
W. Pieczynski, François Desbouvries. Kalman filtering using pairwise Gaussian models. International Conference on Acoustics, Speech and Signal Processing (ICASSP’03), IEEE, Apr 2003, Hong Kong, China. pp.VI-57-60, ⟨10.1109/ICASSP.2003.1201617⟩. ⟨hal-04415546⟩
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https://hal.science/hal-04415546/file/icassp2003-fdk.pdf BibTex

2002

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Wrya Muhammad, Emmanuèle Grosicki, Karim Abed-Meraim, Jean-Pierre Delmas, François Desbouvries. UPLINK VERSUS DOWNLINK WIRLESS MOBILE POSITIONING IN UMTS CELLULAR RADIO SYSTEMS. European Signal Processing Conference (EUSIPCO’02), EURASIP, Sep 2002, Toulouse, France. ⟨hal-04415556⟩
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https://hal.science/hal-04415556/file/2002-eusipco.pdf BibTex

2000

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Walid Hachem, François Desbouvries, Philippe Loubaton. Blind channel estimation for CDMA systems : an induced cyclostationarity approach. in Proc. ICASSP-2000, Istanbul, Jun 2000, France. pp.2477-2480. ⟨hal-00621714⟩
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1999

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François Desbouvries. Geometrical aspects of linear prediction algorithms. International Symposium on the Mathematical Theory of Networks and Systems (MTNS 2000), Jun 1999, Perpignan, France. ⟨hal-04415562⟩
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https://hal.science/hal-04415562/file/2000-mtns.pdf BibTex
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Walid Hachem, François Desbouvries, Philippe Loubaton. Un algorithme d’identification autodidacte multi-entrĂŠes/ multi-sorties en prĂŠsence de bruit corrĂŠlĂŠ spatialement. in Actes du Colloque GRETSI-99., 1999, France. 10pp. ⟨hal-00621715⟩
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1997

ref_biblio
François Desbouvries, Philippe Loubaton. Identification autodidacte au second ordre d’un système multi-entrĂŠes / multi-sorties bruitĂŠ : Le cas d’un bruit temporellement blanc et spatialement colorĂŠ. Gretsi, Sep 1997, Grenoble, France. ⟨hal-04415729⟩
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https://hal.science/hal-04415729/file/1997-gretsi.pdf BibTex

1996

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François Desbouvries, Inbar Fijalkow, Philippe Loubaton. On the identification of certain noisy MA models. International Symposium on the Mathematical Theory of Networks and Systems (MTNS’96), Jun 1996, Saint Louis (MO), United States. ⟨hal-04415746⟩
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1993

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François Desbouvries. A rotation-based algorithm for computing reflection coefficients. European Conference on Circuit Theory and Design (ECCTD), Aug 1993, Davos (Suisse), Switzerland. ⟨hal-04415754⟩
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1990

ref_biblio
François Desbouvries, Claude Gueguen. Time-varying 9ranks and associated inversion algorithms. International Workshop on Algorithms and Parallel VLSI Architectures, Jun 1990, Pont Ă  Mousson (France), France. ⟨hal-04415787⟩
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