Short time single polynomial phase signal using legendre function. - Michelle Vieira; François Léonard; Meryem Jabloun; Nadine Martin (EUSIPCO, 2004)

Multicomponent signal: Local analysis and estimation. - Meryem Jabloun; Nadine Martin; Michelle Vieira; François Léonard (EUSIPCO, 2005)

A New Flexible Approach to Estimate the IA and IF of Nonstationary Signals of Long-Time Duration. - Meryem Jabloun; François Léonard; Michelle Vieira; Nadine Martin (IEEE Trans. Signal Process., 2007)

Estimation of the instantaneous amplitude and frequency of non-stationary short-time signals. - Meryem Jabloun; Nadine Martin; François Léonard; Michelle Vieira (Signal Process., 2008)

Time-frequency analysis based on the phase-rectified signal averaging method. - Meryem Jabloun; Jérôme Van Zaen; Jean-Marc Vesin (EUSIPCO, 2009)

Phase-rectified signal averaging method applied to heart rate variability signals for assessment of the changes in sympathovagal balance during rest and tilt. - Meryem Jabloun; Philippe Ravier; Olivier Buttelli (EUSIPCO, 2010)

Do the generalized correlation methods improve time delay estimation of the muscle fiber conduction velocity? - Philippe Ravier; Gia-Thien Luu; Meryem Jabloun; Olivier Buttelli (ISABEL, 2011)

On the separation of heart sound components using a translated empirical mode decomposition. - Christophe Segalen; Meryem Jabloun; Philippe Ravier; Rachid Harba; Roger Lédée; Long-Dang Nguyen (ISABEL, 2011)

Theoretical insights into the Phase Rectified Averaging method and application to HRV analysis. - Meryem Jabloun; Philippe Ravier; Olivier Buttelli (EUSIPCO, 2013)

HRV spectral estimation based on constrained Gaussian modeling in the nonstationary case. - Mohamed Daoud; Philippe Ravier; Rachid Harba; Meryem Jabloun; Benabdellah Yagoubi; Olivier Buttelli (Biomed. Signal Process. Control., 2013)

A generating model of realistic synthetic heart sounds for performance assessment of phonocardiogram processing algorithms. - Meryem Jabloun; Philippe Ravier; Olivier Buttelli; Roger Lédée; Rachid Harba; Long-Dang Nguyen (Biomed. Signal Process. Control., 2013)

A reversible jump MCMC algorithm for Particle Size inversion in Multiangle Dynamic Light Scattering. - Abdelbassit Boualem; Meryem Jabloun; Philippe Ravier; Marie Naiim; Alain Jalocha (EUSIPCO, 2014)

An improved Bayesian inversion method for the estimation of multimodal particle size distributions using multiangle Dynamic Light Scattering measurements. - Abdelbassit Boualem; Meryem Jabloun; Philippe Ravier; Marie Naiim; A. Mocha (SSP, 2014)

Cramér-Rao bounds for particle size distribution estimation from multiangle dynamic light scattering. - Abdelbassit Boualem; Meryem Jabloun; Philippe Ravier; Marie Naiim; Alain Jalocha (EUSIPCO, 2015)

Legendre polynomial modeling of time-varying delay applied to surface EMG signals - Derivation of the appropriate time-dependent CRBs. - Abdelbassit Boualem; Meryem Jabloun; Philippe Ravier; Olivier Buttelli (Signal Process., 2015)

Detection of sEMG muscle activation intervals using Gaussian Mixture Model and Ant Colony Classifier. - Amal Naseem; Meryem Jabloun; Olivier Buttelli; Philippe Ravier (EUSIPCO, 2016)

Characterizing Parkinson's desease using EMG fractional linear prediction. - Philippe Ravier; Meryem Jabloun; Mohamed Lamine Talbi; Ross Parry; Elodie Lalo; Olivier Buttelli (EUSIPCO, 2016)

Muscular activation intervals detection using gaussian mixture model GMM applied to sEMG signals. - Amal Naseem; Meryem Jabloun; Philippe Ravier; Olivier Buttelli (HealthCom, 2016)

A new generalization of the discrete Teager-Kaiser energy operator - application to biomedical signals. - Meryem Jabloun (ICASSP, 2017)

A joint snake and atlas-based segmentation of plantar foot thermal images. - Asma Bougrine; Rachid Harba; Raphaël Canals; Roger Lédée; Meryem Jabloun (IPTA, 2017)

Theoretical Study of Multiscale Permutation Entropy on Finite-Length Fractional Gaussian Noise. - Antonio Dávalos; Meryem Jabloun; Philippe Ravier; Olivier Buttelli (EUSIPCO, 2018)

On The Statistical Properties Of The Generalized Discrete Teager-Kaiser Energy Operator Applied To Uniformly Distributed Random Signals. - Meryem Jabloun; Philippe Ravier; Olivier Buttelli (SSP, 2018)

On the segmentation of plantar foot thermal images with Deep Learning. - Asma Bougrine; Rachid Harba; Raphaël Canals; Roger Lédée; Meryem Jabloun (EUSIPCO, 2019)

Multiscale Permutation Entropy: Statistical Characterization on Autoregressive and Moving Average Processes. - Antonio Dávalos; Meryem Jabloun; Philippe Ravier; Olivier Buttelli (EUSIPCO, 2019)

On the Statistical Properties of Multiscale Permutation Entropy: Characterization of the Estimator's Variance. - Antonio Dávalos; Meryem Jabloun; Philippe Ravier; Olivier Buttelli (Entropy, 2019)

On the Deterministic Estimaton of Multiscale Permutation Entropy of High-Order Autoregressive-Moving-Average Processes as a Function of ARMA Parameters. - Antonio Dávalos; Meryem Jabloun; Philippe Ravier; Olivier Buttelli (EUSIPCO, 2020)

Improvement of Statistical Performance of Ordinal Multiscale Entropy Techniques Using Refined Composite Downsampling Permutation Entropy. - Antonio Dávalos; Meryem Jabloun; Philippe Ravier; Olivier Buttelli (Entropy, 2021)

The Impact of Linear Filter Preprocessing in the Interpretation of Permutation Entropy. - Antonio Dávalos; Meryem Jabloun; Philippe Ravier; Olivier Buttelli (Entropy, 2021)

The Refined Composite Downsampling Permutation Entropy Is a Relevant Tool in the Muscle Fatigue Study Using sEMG Signals. - Philippe Ravier; Antonio Dávalos; Meryem Jabloun; Olivier Buttelli (Entropy, 2021)

Empirical mode decomposition revisited using ordinal pattern concepts. - Meryem Jabloun (EUSIPCO, 2022)

Are Deep Learning Models Practically Good as Promised? A Strategic Comparison of Deep Learning Models for Time Series Forecasting. - Zuokun Ouyang; Philippe Ravier; Meryem Jabloun (EUSIPCO, 2022)

On the Genuine Relevance of the Data-Driven Signal Decomposition-Based Multiscale Permutation Entropy. - Meryem Jabloun; Philippe Ravier; Olivier Buttelli (Entropy, 2022)

Segmentation of Plantar Foot Thermal Images Using Prior Information. - Asma Bougrine; Rachid Harba; Raphaël Canals; Roger Lédée; Meryem Jabloun; Alain Villeneuve (Sensors, 2022)

Local Legendre Polynomial Fitting-Based Preprocessing for Improving the Interpretation of Permutation Entropy in Stationary Time Series. - Meryem Jabloun (EUSIPCO, 2023)

STLformer: Exploit STL Decomposition and Rank Correlation for Time Series Forecasting. - Zuokun Ouyang; Meryem Jabloun; Philippe Ravier (EUSIPCO, 2023)

Improving of the interpretation of linear filtering preprocessing-based multiscale permutation entropy. - Meryem Jabloun; Philippe Ravier; Olivier Buttelli (SSP, 2023)

Rankformer: Leveraging Rank Correlation for Transformer-based Time Series Forecasting. - Zuokun Ouyang; Meryem Jabloun; Philippe Ravier (SSP, 2023)

Ordinal pattern-based mode decomposition: A new approach to time series analysis. - Meryem Jabloun (Signal Process., 2025)