| 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 | 41 | 2017 |
| The sliding singular spectrum analysis: A data-driven nonstationary signal decomposition tool J Harmouche, D Fourer, F Auger, P Borgnat, P Flandrin IEEE Transactions on Signal Processing 66 (1), 251-263, 2017 | 33 | 2017 |
| Recursive versions of the Levenberg-Marquardt reassigned spectrogram and of the synchrosqueezed STFT D Fourer, F Auger, P Flandrin 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 19 | 2016 |
| 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 | 18 | 2017 |
| Automatic timbre classification of ethnomusicological audio recordings D Fourer, JL Rouas, P Hanna, M Robine | 17 | 2014 |
| DReaM: a novel system for joint source separation and multi-track coding S Marchand, R Badeau, C Baras, L Daudet, D Fourer, L Girin, S Gorlow, ... | 13 | 2012 |
| Synthetic evidential study as augmented collective thought process–preliminary report T Nishida, M Abe, T Ookaki, D Lala, S Thovuttikul, H Song, Y Mohammad, ... Asian conference on intelligent information and database systems, 13-22, 2015 | 9 | 2015 |
| A fast time-frequency multi-window analysis using a tuning directional kernel K Czarnecki, D Fourer, F Auger, M Rojewski Signal Processing 147, 110-119, 2018 | 7 | 2018 |
| Fast and adaptive blind audio source separation using recursive levenberg-marquardt synchrosqueezing D Fourer, G Peeters 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 7 | 2018 |
| Statistical assessment of abrupt change detectors for non-intrusive load monitoring S Houidi, F Auger, HBA Sethom, L Miègeville, D Fourer, X Jiang 2018 IEEE International Conference on Industrial Technology (ICIT), 1314-1319, 2018 | 7 | 2018 |
| Estimation of time-frequency complex phase-based speech attributes using narrow band filter banks K Abratkiewicz, K Czarnecki, D Fourer, F Auger 2017 Signal Processing Symposium (SPSympo), 1-6, 2017 | 7 | 2017 |
| Local AM/FM parameters estimation: application to sinusoidal modeling and blind audio source separation D Fourer, F Auger, G Peeters IEEE Signal Processing Letters 25 (10), 1600-1604, 2018 | 6 | 2018 |
| Second-order time-reassigned synchrosqueezing transform: application to Draupner wave analysis D Fourer, F Auger 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 5 | 2019 |
| Going ba-na-nas: Prosodic analysis of spoken Japanese attitudes D Fourer, T Shochi, JL Rouas, JJ Aucouturier, M Guerry | 5 | 2014 |
| Relevant feature selection for home appliances recognition S Houidi, F Auger, HBA Sethom, D Fourer, L Miègeville Electrimacs 2017, 2017 | 4 | 2017 |
| Informed spectral analysis: audio signal parameter estimation using side information D Fourer, S Marchand EURASIP Journal on Advances in Signal Processing 2013 (1), 178, 2013 | 4 | 2013 |
| Breaking the bounds: Introducing informed spectral analysis S Marchand, D Fourer | 4 | 2010 |
| Towards Extraction of Ground Truth Data from DJ Mixes D Schwarz, D Fourer | 3 | 2017 |
| Objective characterization of audio signal quality: applications to music collection description D Fourer, G Peeters 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 3 | 2017 |
| Reassigning and synchrosqueezing the Stockwell transform: Complementary proofs D Fourer, F Auger, J Hu | 3 | 2015 |
François AugerProfesseur à l'Université de Nantes/IUT de Saint-NazaireAdresse e-mail validée de univ-nantes.fr
