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Blob Detection with Wavelet Maxima Lines

 Christophe Damerval , Sylvain Meignen
IEEE Signal Processing Letters, 2007, 14 (1), pp.39-42. ⟨10.1109/LSP.2006.879830⟩
Article dans une revue hal-00171433v1
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A novel approach based on Voronoï cells to classify spectrogram zeros of multicomponent signals

 Nils Laurent , Sylvain Meignen , Marcelo Alejandro Colominas , Juan M. Miramont , Francois Auger
2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Jun 2023, Ialyssos, Greece. ⟨10.1109/ICASSP49357.2023.10096949⟩
Communication dans un congrès hal-04112595v1
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The Fourier-based Synchrosqueezing Transform

 Thomas Oberlin , Sylvain Meignen , Valérie Perrier
2013
Pré-publication, Document de travail hal-00916088v1
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Smoothness Characterization and Stability of Nonlinear and Non-Separable Multi-scale Representations

 Basarab Matei , Sylvain Meignen , Anastasia Zakharova
Journal of Approximation Theory, 2011, 163 (11), pp.1707-1728. ⟨10.1016/j.jat.2011.06.009⟩
Article dans une revue hal-00472176v2
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Phonocardiogram Signal Denoising Based on Non-negative Matrix Factorization and Adaptive Contour Representation Computation

 Duong-Hung Pham , Sylvain Meignen , Nafissa Dia , Julie Fontecave-Jallon , Bertrand Rivet
IEEE Signal Processing Letters, 2018, 25 (10), pp.1475-1479. ⟨10.1109/LSP.2018.2865253⟩
Article dans une revue hal-01855855v1
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A novel time-frequency technique for multicomponent signal denoising

 Thomas Oberlin , Sylvain Meignen , Steve Mclaughlin
EUSIPCO - 21th European Signal Processing Conference, Sep 2013, Marrakech, Morocco. pp.1-5
Communication dans un congrès hal-00983790v1
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Modified Structural Intensity for Singularity Localization in Noisy Signals: Application to Coherent Averaging for Event-Synchronous ECG Interference Cancellation in Diaphragmatic EMG Signals

 Pierre-Yves Guméry , Julie Fontecave Jallon , Elise Aithocine , Sylvain Meignen , Laurent Heyer , et al.
International Journal of Adaptive Control and Signal Processing, 2010, 24 (5), pp.424-433. ⟨10.1002/acs.1148⟩
Article dans une revue istex hal-00762218v1
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Synchrosqueezing transforms: From low- to high-frequency modulations and perspectives

 Sylvain Meignen , Thomas Oberlin , Duong-Hung Pham
Comptes Rendus. Physique, 2019, 20 (5), pp.449-460. ⟨10.1016/j.crhy.2019.07.001⟩
Article dans une revue hal-02573644v1
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Direct Solution of the Inverse Stochastic Problem through Elementary Markov State Disaggregation

 Lorenzo Ciampolini , Sylvain Meignen , Olivier Menut , Turgis David
2014
Pré-publication, Document de travail hal-01016804v1
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Fully adaptive mode decomposition from time-frequency ridges

 Sylvain Meignen , Thomas Oberlin , Stephen Mc Laughlin
42nd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), Mar 2017, New Orleans, United States. pp.3884-3888, ⟨10.1109/ICASSP.2017.7952884⟩
Communication dans un congrès hal-01913968v1
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Theoretical Analysis of the Second-order Synchrosqueezing Transform

 Ratikanta Behera , Sylvain Meignen , Thomas Oberlin
Applied and Computational Harmonic Analysis, 2018, 45 (2), pp.379-404. ⟨10.1016/j.acha.2016.11.001⟩
Article dans une revue hal-01220017v3
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Demodulation Algorithm Based on Higher Order Synchrosqueezing

 Duong-Hung Pham , Sylvain Meignen
27th European Signal Processing Conference (EUSIPCO 2019), Sep 2019, A Coruna, Spain. pp.1-5, ⟨10.23919/EUSIPCO.2019.8902962⟩
Communication dans un congrès hal-02573681v1

A New Algorithm fo Multicomponent Signals Analysis based on Synchrosqueezing: With an Application to Signal Sampling and Denoising

 Sylvain Meignen , Thomas Oberlin , Steve Mclaughlin
IEEE Transactions on Signal Processing, 2012, 60 (11), pp.5787-5798. ⟨10.1109/TSP.2012.2212891⟩
Article dans une revue hal-00864352v1
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Smoothness of Nonlinear and Non-Separable Subdivision Schemes

 Basarab Matei , Sylvain Meignen , Anastasia Zakharova
Asymptotic Analysis, 2011, 74 (3-4), pp.229-247. ⟨10.3233/ASY-2011-1052⟩
Article dans une revue hal-00452897v1

Analysis of a class of nonlinear and non-separable multiscale representations

 Basarab Matei , Sylvain Meignen
Numerical Algorithms, 2012, 60 (3), pp.391-418. ⟨10.1007/s11075-011-9520-3⟩
Article dans une revue istex hal-00864424v1

The Empirical Mode Decomposition: a new formulation based on Constrained Optimization

 Sylvain Meignen , Valérie Perrier
Approximation and optimization in Image restauration and reconstruction, Jun 2009, Porquerolles, France
Communication dans un congrès hal-00874996v1

A New Formulation for Empirical Mode Decomposition Based on Constrained Optimization

 Sylvain Meignen , Valérie Perrier
IEEE Signal Processing Letters, 2007, 14 (12), pp.932-935. ⟨10.1109/LSP.2007.904706⟩
Article dans une revue hal-00864350v1
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High-Order Synchrosqueezing Transform for Multicomponent Signals Analysis - With an Application to Gravitational-Wave Signal

 Duong-Hung Pham , Sylvain Meignen
IEEE Transactions on Signal Processing, 2017, 65 (12), pp.3168-3178. ⟨10.1109/TSP.2017.2686355⟩
Article dans une revue hal-01912852v2
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The ASTRES Toolbox for Mode Extraction of Non-Stationary Multicomponent Signals

 Dominique Fourer , Jinane Harmouche , Jérémy Schmitt , Thomas Oberlin , Sylvain Meignen , et al.
EUSIPCO 2017 - 25th European Signal Processing Conference, Aug 2017, Kos, Greece. pp.1130-1134, ⟨10.23919/EUSIPCO.2017.8081384⟩
Communication dans un congrès hal-01579903v1
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Différentes approches non linéaires multi-échelles pour l'analyse de signaux et des images

 Sylvain Meignen
Traitement du signal et de l'image [eess.SP]. Université de Grenoble, 2011
HDR tel-00994554v1

Time-Frequency Filtering Based on Model Fitting in the Time-Frequency Plane

 Marcelo Colominas , Sylvain Meignen , Duong-Hung Pham
IEEE Signal Processing Letters, 2019, 26 (5), pp.660-664. ⟨10.1109/LSP.2019.2904148⟩
Article dans une revue hal-03102616v1
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A new optimization based approach to the empirical mode decomposition

 Basarab Matei , Sylvain Meignen
Annals of the University of Bucharest. Mathematical series, 2014, 4 (1), pp.129-139
Article dans une revue hal-00983758v1

Une nouvelle formulation de la décomposition modale empirique fondée sur l'optimisation sous contraintes

 Sylvain Meignen , Valérie Perrier
SMAI 2007 - 3e Congrès National de Mathématiques Appliquées et Industrielles, Jun 2007, Praz-sur-Arly, France
Communication dans un congrès hal-00875003v1

Signal Decomposition in weak-IMFs: A New Approach to Empirical Mode Decomposition

 Sylvain Meignen
2nd International Conference on the Advances of Hilbert-Huang Transform and Its Applications, Dec 2008, Guangzhou, China
Communication dans un congrès hal-00875012v1
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The second-order wavelet synchrosqueezing transform

 Thomas Oberlin , Sylvain Meignen
42nd IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017), Mar 2017, New Orleans, United States. pp.3994-3998, ⟨10.1109/ICASSP.2017.7952906⟩
Communication dans un congrès hal-01913971v1
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Optimized Lifting Schemes Based on ENO Stencils for Image Approximation

 Mounir Kaaniche , Matei Basarab , Sylvain Meignen
2015 IEEE International Conference on Image Processing, ICIP 2015, Sep 2015, Québec, Canada. ⟨10.1109/ICIP.2015.7351619⟩
Communication dans un congrès hal-01912892v1
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Synchronization and desynchronization of neural oscillators

 Arnaud Tonnelier , Sylvain Meignen , Holger Bosch , Jacques Demongeot
Neural Networks, 1999, 12, pp.1213-1228
Article dans une revue hal-00393752v1
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An Alternative Formulation for the Empirical Mode Decomposition

 Thomas Oberlin , Sylvain Meignen , Valérie Perrier
IEEE Transactions on Signal Processing, 2012, 60 (5), pp.2236-2246. ⟨10.1109/TSP.2012.2187202⟩
Article dans une revue hal-00553107v1
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Adaptive multimode signal reconstruction from time-frequency representations

 Sylvain Meignen , Thomas Oberlin , Philippe Depalle , Patrick Flandrin , Stephen Mclaughlin
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2016, 374 (2065), pp.20150205:1-13. ⟨10.1098/rsta.2015.0205⟩
Article dans une revue hal-01912880v1
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Retrieval of the Modes of Multicomponent Signals from Downsampled Short-Time Fourier Transform

 Sylvain Meignen , Duong-Hung Pham
IEEE Transactions on Signal Processing, 2018, 66 (23), pp.6204-6215. ⟨10.1109/TSP.2018.2875390⟩
Article dans une revue hal-01850940v1
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