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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

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

Application of the Convergence of the Control Net of Box Splines to Scale-Space Filtering

 Sylvain Meignen
IEEE Transactions on Image Processing, 2007, 16 (11), pp.2842-2848. ⟨10.1109/TIP.2007.906253⟩
Article dans une revue hal-00864351v1

La décomposition en IMF-faible : une nouvelle approche pour la décomposition modale empirique

 Sylvain Meignen
Approximation, Modélisation Géométrique et Applications, Nov 2008, Marseille, France
Communication dans un congrès hal-00875011v1
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A New Adaptive Technique for Multicomponent Signals Reassignment Based on Synchrosqueezing Transform

 Nils Laurent , Sylvain Meignen
2022 30th European Signal Processing Conference (EUSIPCO), Aug 2022, Belgrade, Serbia
Communication dans un congrès hal-03844602v1

Nonlinear Cell-Average Multiscale Signal Representations: Application to Signal Denoising

 Basarab Matei , Sylvain Meignen
Signal Processing, 2012, 92 (11), pp.2738-2746. ⟨10.1016/j.sigpro.2012.05.005⟩
Article dans une revue istex hal-00864349v1
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Interest Point Detection with Wavelet Maxima Lines

 Christophe Damerval , Sylvain Meignen
2007
Pré-publication, Document de travail inria-00171678v1

Computation of Blob-like Structures Characteristic Scale with Wavelet Maxima Lines

 Christophe Damerval , Sylvain Meignen
6th International conference on Curves and Surfaces, Jun 2006, Avignon, France. pp.111-120
Communication dans un congrès hal-00104045v1

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

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
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Analysis of Reassignment Operators Used in Synchrosqueezing Transforms: With an Application to Instantaneous Frequency Estimation

 Sylvain Meignen , Neha Singh
2022
Pré-publication, Document de travail hal-03327520v2
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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
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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

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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On the Study of Interference and their Localization in the Time-Frequency Plane

 Sylvain Meignen , Thomas Oberlin
2021
Pré-publication, Document de travail hal-03327526v1

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
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A New Ridge Detector Localizing Strong Interference in Multicomponent Signals in the Time-Frequency Plane

 Sylvain Meignen , Marcelo Colominas
IEEE Transactions on Signal Processing, 2023, 71, pp.3413-3425. ⟨10.1109/TSP.2023.3311513⟩
Article dans une revue hal-04218423v1
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Making Synchrosqueezing Locally Adaptive in The Time-Frequency Plane

 Marcelo Colominas , Sylvain Meignen
International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2023, Jun 2023, Rhodes Island, Greece. pp.1-5, ⟨10.1109/ICASSP49357.2023.10097003⟩
Communication dans un congrès hal-04218338v1

Highlight on a feature extracted at fine scales: the pointwise Lipschitz regularity

 Christophe Damerval , Sylvain Meignen
SSVM 2009 - 2nd International Conference on Scale Space and Variational Methods, Jun 2009, Voss, Norway. pp.782-794, ⟨10.1007/978-3-642-02256-2_65⟩
Communication dans un congrès hal-00872504v1
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An Adaptive Computation of Contour Representations for Mode Decomposition

 Duong-Hung Pham , Sylvain Meignen
IEEE Signal Processing Letters, 2017, 24 (11), pp.1596-1600. ⟨10.1109/LSP.2017.2750802⟩
Article dans une revue hal-01586387v1
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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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A Novel Ridge Detector for Nonstationary Multicomponent Signals: Development and Application to Robust Mode Retrieval

 Nils Laurent , Sylvain Meignen
IEEE Transactions on Signal Processing, 2021, 69, pp.3325-3336. ⟨10.1109/TSP.2021.3085113⟩
Article dans une revue hal-02945707v2
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A Novel Time-Frequency Technique for Mode Retrieval Based on Linear Chirp Approximation

 Nils Laurent , Sylvain Meignen
IEEE Signal Processing Letters, 2020, 27, pp.935 - 939. ⟨10.1109/LSP.2020.2996905⟩
Article dans une revue hal-03238465v1
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Multiresolution Framework on the Interval based on Fibonacci Tiling, B–splines and Lifting Scheme

 Cédric Gérot , Sylvain Meignen
[Research Report] GIPSA-lab. 2015
Rapport hal-01256233v1
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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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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

Reconstruction of Finite Signal Derivatives from Multiscale Extrema Representations: Application to Transient and Signal Approximation

 Sylvain Meignen , Pierre-Yves Guméry
IEEE Transactions on Signal Processing, 2007, 55 (4), pp.1554-1559. ⟨10.1109/TSP.2006.887570⟩
Article dans une revue hal-00171431v1
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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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Interpolatory Nonlinear and Non-Separable Multi-scale Representation: Application to Image Compression

 Sylvain Meignen , Basarab Matei , Anastasia Zakharova
2010
Pré-publication, Document de travail hal-00466937v1
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