sylvain meignen
sylvain meignen
Laboratoire LJK
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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
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
A fast algorithm for bidimensional EMD
C Damerval, S Meignen, V Perrier
IEEE signal processing letters 12 (10), 701-704, 2005
The Fourier-based synchrosqueezing transform
T Oberlin, S Meignen, V Perrier
2014 IEEE international conference on acoustics, speech and signal …, 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
Theoretical analysis of the second-order synchrosqueezing transform
R Behera, S Meignen, T Oberlin
Applied and Computational Harmonic Analysis 45 (2), 379-404, 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
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
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
An alternative formulation for the empirical mode decomposition
T Oberlin, S Meignen, V Perrier
IEEE Transactions on Signal Processing 60 (5), 2236-2246, 2012
Synchronization and desynchronization of neural oscillators
A Tonnelier, S Meignen, H Bosch, J Demongeot
Neural Networks 12 (9), 1213-1228, 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
The second-order wavelet synchrosqueezing transform
T Oberlin, S Meignen
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
Synchrosqueezing transforms: From low-to high-frequency modulations and perspectives
S Meignen, T Oberlin, DH Pham
Comptes Rendus Physique 20 (5), 449-460, 2019
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
Blob detection with wavelet maxima lines
C Damerval, S Meignen
IEEE Signal Processing Letters 14 (1), 39-42, 2006
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
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
Fully adaptive ridge detection based on STFT phase information
MA Colominas, S Meignen, DH Pham
IEEE Signal Processing Letters 27, 620-624, 2020
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