| 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 | 526 | 2013 |
| A fast algorithm for bidimensional EMD C Damerval, S Meignen, V Perrier IEEE signal processing letters 12 (10), 701-704, 2005 | 349 | 2005 |
| 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 | 334 | 2015 |
| High-order synchrosqueezing transform for multicomponent signals analysis—With an application to gravitational-wave signal DH Pham, S Meignen IEEE Transactions on Signal Processing 65 (12), 3168-3178, 2017 | 296 | 2017 |
| The Fourier-based synchrosqueezing transform T Oberlin, S Meignen, V Perrier 2014 IEEE international conference on acoustics, speech and signal …, 2014 | 242 | 2014 |
| 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 | 183 | 2012 |
| Theoretical analysis of the second-order synchrosqueezing transform R Behera, S Meignen, T Oberlin Applied and Computational Harmonic Analysis 45 (2), 379-404, 2018 | 157 | 2018 |
| A new formulation for empirical mode decomposition based on constrained optimization S Meignen, V Perrier IEEE Signal Processing Letters 14 (12), 932-935, 2007 | 132 | 2007 |
| On demodulation, ridge detection, and synchrosqueezing for multicomponent signals S Meignen, DH Pham, S McLaughlin IEEE Transactions on Signal Processing 65 (8), 2093-2103, 2017 | 110 | 2017 |
| Chirp rate and instantaneous frequency estimation: application to recursive vertical synchrosqueezing D Fourer, F Auger, K Czarnecki, S Meignen, P Flandrin IEEE Signal Processing Letters 24 (11), 1724-1728, 2017 | 88 | 2017 |
| An alternative formulation for the empirical mode decomposition T Oberlin, S Meignen, V Perrier IEEE Transactions on Signal Processing 60 (5), 2236-2246, 2012 | 68 | 2012 |
| Synchronization and desynchronization of neural oscillators A Tonnelier, S Meignen, H Bosch, J Demongeot Neural Networks 12 (9), 1213-1228, 1999 | 66 | 1999 |
| 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 | 53 | 2016 |
| The second-order wavelet synchrosqueezing transform T Oberlin, S Meignen 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 52 | 2017 |
| On the modeling of small sample distributions with generalized Gaussian density in a maximum likelihood framework S Meignen, H Meignen IEEE Transactions on Image Processing 15 (6), 1647-1652, 2006 | 52 | 2006 |
| Blob detection with wavelet maxima lines C Damerval, S Meignen IEEE Signal Processing Letters 14 (1), 39-42, 2006 | 39 | 2006 |
| Synchrosqueezing transforms: From low-to high-frequency modulations and perspectives S Meignen, T Oberlin, DH Pham Comptes Rendus Physique 20 (5), 449-460, 2019 | 37 | 2019 |
| 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 | 35 | 2017 |
| Retrieval of the modes of multicomponent signals from downsampled short-time Fourier transform S Meignen, DH Pham IEEE Transactions on Signal Processing 66 (23), 6204-6215, 2018 | 32 | 2018 |
| Fully adaptive ridge detection based on STFT phase information MA Colominas, S Meignen, DH Pham IEEE Signal Processing Letters 27, 620-624, 2020 | 20 | 2020 |
Thomas OberlinISAE-SUPAERO, Université de ToulouseVerified email at isae.fr
