List of publications

2025

1. Filtering and machine learning on Riemannian manifolds and Lie groups

   Samy Labsir, Sara El Bouch, Claudio J Bordin Jr, and 1 more author

   Signal Processing, 2025
2. Recursive Estimators and Hybrid Cramér-Rao Bounds for Discrete-Time Markovian Dynamic Systems

   Sara El Bouch, Samy Labsir, Jérôme Galy, and 2 more authors

   Signal Processing, 2025
3. Détection des sursauts radio rapides (FRB) basée sur une architecture neuronale hybride

   Benjamin Amblard, Sara El-Bouch, Mauro Dalla Mura, and 2 more authors

   2025
4. New Insights into Lower Bound for Lie Groups and their Applications

   Sara El Bouch, Samy Labsir, Alexandre Renaux, and 2 more authors

   In 2025 59th Annual Conference on Information Sciences and Systems (CISS), 2025

2024

1. Full slepian-bangs formula for fisher information on lie groups

   Sara El Bouch, Samy Labsir, Alexandre Renaux, and 2 more authors

   In 2024 58th Asilomar Conference on Signals, Systems, and Computers, 2024
2. Hybrid CRB for Initial and Current States of Discrete-Time Markovian Dynamic Systems

   Sara El Bouch, Jordi Vilà-Valls, and Eric Chaumette

   In 2024 International Radar Conference (RADAR), 2024
3. Cramér-Rao Bound for Lie Group Parameter Estimation with Euclidean Observations and Unknown Covariance Matrix

   Samy Labsir, Sara El Bouch, Alexandre Renaux, and 2 more authors

   IEEE Transactions on Signal Processing, 2024
4. An intrinsic modified cramér-rao bound on Lie groups

   Sara El Bouch, Samy Labsir, Alexandre Renaux, and 2 more authors

   In 2024 27th International Conference on Information Fusion (FUSION), 2024
5. A Modified Cramér-Rao Bound for Discrete-Time Markovian Dynamic Systems

   Sara El Bouch, Jérôme Galy, Eric Chaumette, and 1 more author

   In ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024

2023

1. Joint Maximum a Posteriori-Maximum Likelihood Estimator for Linear Discrete-Time Systems

   Sara ElBouch, Eric Chaumette, and Jordi Vilà-Valls

   In CAMSAP 2023 - 2023 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2023
2. Détection automatique des événements sismiques à l’aide de la formation de voies basée sur le Kurtosis multivarié

   Sara Elbouch, Olivier Michel, Pierre Comon, and 2 more authors

   In GRETSI 2023 - XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023

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2022

1. A normality test for multivariate dependent samples

   Sara El Bouch, Olivier Michel, and Pierre Comon

   Signal Processing, Aug 2022

   Abs

   Most normality tests in the literature are performed for scalar and independent samples. Thus, they become unreliable when applied to colored processes, hampering their use in realistic scenarios. We focus on Mardia’s multivariate kurtosis, derive closed-form expressions of its asymptotic distribution for statistically dependent samples, under the null hypothesis of normality and a mixing condition. The calculus is long and tedious but the final result is simple and is implemented with a low computational burden. The proposed expression of the test exhibits good properties on various scenarios; this is illustrated by computer experiments by means of copulas.

2. Joint Normality Test Via Two-Dimensional Projection

   Sara ElBouch, Olivier J. J Michel, and Pierre Comon

   In ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Aug 2022
3. Multivariate Normality test for colored data

   El Bouch Sara, Michel J. J. Olivier, and Comon Pierre

   In 2022 30th European Signal Processing Conference (EUSIPCO), Aug 2022
4. Un Test de Normalité pour les Processus Colorés Multivariés

   Sara Elbouch, Olivier J.J. Michel, and Pierre Comon

   In GRETSI 2022 - XXVIIIème Colloque Francophone de Traitement du Signal et des Images, Sep 2022

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