(2019)
* M. Colominas, S. Meignen and D-H. Pham,
"Time-Frequency Filtering Based on Model Fitting in
the Time-Frequency Plane", IEEE Signal Processing
Letters, vol. 26, no. 5, pp. 660-664, 2019.archives-Hal
* S. Meignen, T. Oberlin and D-H. Pham,
"Synchrosqueezing Transforms: from Low to High
frequency Modulations and Perspectives", Comptes
Rendus de l'Académie des Sciences, Fourier and the
Science of today, vol. 20, no. 5, pp. 449-460, 2019. archives-Hal
(2020)
* M. Colominas, S. Meignen and D-H. Pham,
"Fully Adaptive Ridge Detection Based on STFT Phase
Information", IEEE Signal Processing Letters, vol. 27,
no. 1, pp. 620-624, 2020. archives-Hal
* N. Laurent, S. Meignen, "A Novel Time-Frequency
Technique for Mode Retrieval Based on Linear Chirp
Approximation ", IEEE Signal Processing Letters, 2020.
archives-Hal
programs
* S. Houidi, D. Fourer and F. Auger, "On the Use of Concentrated Time-Frequency Representations as Input to a Deep Convolutional Neural Network: Application to Non Intrusive Load Monitoring, MDPI, vol. 22, issue: 9, Entropy, DOI: 10.3390/e22090911. archives-Hal
(2021)
* S. Meignen, D-H. Pham and Marcelo Colominas, "On the use of Short-Time Fourier Transform and Synchrosqueezing_Based Demodulation for the Retrieval of the Modes of Multicomponent Signals", Signal Processing, 100760, vol. 178, jan. 2021.archives-Hal programs
* N. Laurent, S. Meignen, "A Novel Ridge Detector for
Nonstationary Multicomponent Signals: Development and
Application to Robust Mode Retrieval", IEEE
Transactions on Signal Processing, vol. 69, pp.
3325-3336, may 2021. archives-Hal
programs
* S. Meignen, N. Singh, "Analysis of Reassignment Operators in Synchrosqueezing Transforms: with an Application to Instantaneous Frequency Estimation", IEEE Transactions on Signal Processing, vol. 70, pp. 216-227, 2021. archives-Hal programs
(2022)
* S. Meignen, N. Laurent and T. Oberlin," One or Two Ridges? An Exact Mode Separation Condition for the Gabor Transform", IEEE Signal Processing Letters, vol. 29, pp. 2507-2511,2022. archives-Hal
* N. Laurent, S. Meignen and M. A. Colominas,"On
Local Chirp Rate Estimation in Noisy Multicomponent
Signals: With an Application to Mode Reconstruction",
IEEE Transactions on Signal Processing, vol. 70, pp.
3429-3440, 2022.archives-Hal
* W. Li, F. Auger, Z. Zhang, and X. Zhu ,
"Self-matched extracting wavelet transform and signal
reconstruction", Digital Signal Processing, 128,
1036002, 2022.archives-Hal
* W. Li, Z. Zhang, and F. Auger, "Theoretical
Analysis of time-reassigned synchrosqueezing wavelet
transform", Applied Mathematics Letters, vol. 132, p.
108141, 2022.archives-Hall
(2023)
* Q. Legros and D. Fourer, "Pseudo-Bayesian Approach for Robust Mode Detection and Extraction Based on the STFT", Sensors, 2023, 23 (1), 85.archives-Hal
* W. Li, Z. Zhang, F., Auger, and X. Zhu
(2023), ''Time-Extracting Wavelet Transform for
Characterizing Impulsive-Like Signals and Theoretical
Analysis", Circuits, Systems and Signal Processing,
1-29, 2023. archives-Hal
* J. M. Miramont, F. Auger, M.A. Colominas, N.
Laurent, and S. Meignen, "Unsupervised Classification
of the Spectrogram Zeros with an Application to Signal
Detection and Denoising", Signal Processing, 2023. preprint
* S. Meignen and M. A Colominas, "A New Ridge
Detector Localizing Strong Interference in
Multicomponent Signals in the Time-Frequency Plane",
IEEE Transactions on Signal Processing, 2023. archives-Hal
Conferences
(2019)
*D-H. Pham and S. Meignen, "Demodulation Algorithm
Based on Higher Order Synchrosqueezing", EUSIPCO 2019.
archives-Hal
* D. Fourer and F. Auger, "Second-order
Time-Reassigned Synchrosqueezing Transform:
Application to Draupner Wave Analysis", EUSIPCO 2019.
archives-Hal
* D. Fourer and F. Auger, "Synchrosqueezing temporel
d'ordre 2 de la transformée de Fourier à court terme",
Proc. GRETSI 2019, Lille, France.archives-Hal
* R. Souriau, D. Fourer, H. Chen, J Lerbet, H.
Maaref, V. Vigneron, "High-Voltage Spindles detection
from EEG signals using recursive synchrosqueezing
transform", Proc. GRETSI 2019, Lille, France.archives-Hal
(2020)
* S. Meignen, M. Colominas, and D-H. Pham, "On the
Use of Rényi Entropy for Optimal Window Size
Computation in the Short-Time Fourier Transform",
ICASSP 2020.archives-Hal
* D. Fourer and Francois Auger, "Second-Order
Horizontal Synchrosqueezing of the S-Transform: A
Specific Wavelet Case Study", EUSIPCO 2020. archives-Hal
* K. Abratkiewicz, P. Samczynski and D. Fourer, "A
Comparison of the Recursive and FFT-based Reassignment
Methods in micro-Doppler Analysis", Proc. IEEE radar
conf 2020, Florence, Italy.archives-Hal
(2021)
* N. Laurent, S. Meignen, J. Fontecave-Jallon,
B.Rivet, "A Novel Algorithm for Heart Rate Estimation
Based on Synchrosqueezing Transform", EUSIPCO 2021. archives-Hal
* N. Singh, S. Meignen, T. Oberlin," Source
Separation Based on Non-Negative Matrix Factorization
of the Synchrosqueezing Transform", EUSIPCO 2021. archives-Hal
* Q. Legros, D. Fourer,"A novel Pseudo-Bayesian
Approoach for Robust Multi-Ridge Detection and Mode
Retrieval", EUSIPCO 2021. archives-Hal
(2022)
* N. Laurent, S. Meignen,"A New Adaptive Technique
for Multicomponent Signals Reassignment Based On
Synchrosqueezing Transform",EUSIPCO 2022.archives-Hal
* D. Fourer and A. Orlowska," Detection and
Identification of Beehive Piping Audio Signals", Proc.
DCASE 2022. Nancy, France.archives-Hal
* D. Fourer," Séparation de Sources
Harmoniques/Percusives utilisant des estimateurs
locaux de modulation linéaires AM-FM", Proc.GRETSI,
2022, Nancy, France.
* J. Miramont, R. Bardenet, P. Chainais, and F. Auger, "A public benchmark for denoising and detecting methods", Proc.GRETSI, 2022, Nancy, France.
(2023)
* M. Colominas and S. Meignen, "Making Synchrosqueezing Locally Adaptive in the Time-Frequency Plane", Proc. ICASSP 2023.archives-Hal
* N. Laurent, S. Meignen, M. Colominas, J. M.
Miramont Taurel and F. Auger,"A Novel Approach Based
on Voronoï Cells to Classify Spectrogram Zeros of
Multicomponent Signals", Proc. ICASSP 2023.archives-Hal