Thomas Oberlin
Thomas Oberlin
ISAE-SUPAERO, Université de Toulouse
Verified email at - Homepage
Cited by
Cited by
Time-frequency reassignment and synchrosqueezing: An overview
F Auger, P Flandrin, YT Lin, S McLaughlin, S Meignen, T Oberlin, HT Wu
IEEE Signal Processing Magazine 30 (6), 32-41, 2013
Second-order synchrosqueezing transform or invertible reassignment? Towards ideal time-frequency representations
T Oberlin, S Meignen, V Perrier
IEEE Transactions on Signal Processing 63 (5), 1335-1344, 2015
A new algorithm for multicomponent signals analysis based on synchrosqueezing: With an application to signal sampling and denoising
S Meignen, T Oberlin, S McLaughlin
IEEE transactions on Signal Processing 60 (11), 5787-5798, 2012
The Fourier-based synchrosqueezing transform
T Oberlin, S Meignen, V Perrier
2014 IEEE international conference on acoustics, speech and signal …, 2014
Theoretical analysis of the second-order synchrosqueezing transform
R Behera, S Meignen, T Oberlin
Applied and Computational Harmonic Analysis 45 (2), 379-404, 2018
An alternative formulation for the empirical mode decomposition
T Oberlin, S Meignen, V Perrier
IEEE Transactions on Signal Processing 60 (5), 2236-2246, 2012
Adaptive multimode signal reconstruction from time–frequency representations
S Meignen, T Oberlin, P Depalle, P Flandrin, S McLaughlin
Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2016
The monogenic synchrosqueezed wavelet transform: a tool for the decomposition/demodulation of AM–FM images
M Clausel, T Oberlin, V Perrier
Applied and Computational Harmonic Analysis 39 (3), 450-486, 2015
Bayesian EEG source localization using a structured sparsity prior
F Costa, H Batatia, T Oberlin, C d'Giano, JY Tourneret
NeuroImage 144, 142-152, 2017
The second-order wavelet synchrosqueezing transform
T Oberlin, S Meignen
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
The ASTRES toolbox for mode extraction of non-stationary multicomponent signals
D Fourer, J Harmouche, J Schmitt, T Oberlin, S Meignen, F Auger, ...
2017 25th European Signal Processing Conference (EUSIPCO), 1130-1134, 2017
A novel time-frequency technique for multicomponent signal denoising
T Oberlin, S Meignen, S McLaughlin
21st European Signal Processing Conference (EUSIPCO 2013), 1-5, 2013
On the mode synthesis in the synchrosqueezing method
T Oberlin, S Meignen, V Perrier
2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO …, 2012
Unmixing dynamic PET images with variable specific binding kinetics
YC Cavalcanti, T Oberlin, N Dobigeon, S Stute, M Ribeiro, C Tauber
Medical image analysis 49, 117-127, 2018
Factor analysis of dynamic PET images: beyond Gaussian noise
YC Cavalcanti, T Oberlin, N Dobigeon, C Févotte, S Stute, MJ Ribeiro, ...
IEEE transactions on medical imaging 38 (9), 2231-2241, 2019
Reconstruction of Partially Sampled Multiband Images—Application to STEM-EELS Imaging
E Monier, T Oberlin, N Brun, M Tencé, M de Frutos, N Dobigeon
IEEE Transactions on Computational Imaging 4 (4), 585-598, 2018
Multicomponent signal denoising with synchrosqueezing
S Meignen, T Oberlin, S McLaughlin
2012 IEEE Statistical Signal Processing Workshop (SSP), 660-663, 2012
Synchrosqueezing transforms: From low-to high-frequency modulations and perspectives
S Meignen, T Oberlin, DH Pham
Comptes Rendus Physique 20 (5), 449-460, 2019
Recommendation from raw data with adaptive compound Poisson factorization
O Gouvert, T Oberlin, C Févotte
Uncertainty in Artificial Intelligence, 91-101, 2020
Coupled dictionary learning for unsupervised change detection between multimodal remote sensing images
V Ferraris, N Dobigeon, Y Cavalcanti, T Oberlin, M Chabert
Computer Vision and Image Understanding 189, 102817, 2019
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