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2020 – today
- 2024
[j6]Julien Lesouple
, Lorenzo Ortega:
Bayesian EM approach for GNSS parameters of interest estimation under constant modulus interference. EURASIP J. Adv. Signal Process. 2024(1): 32 (2024)- [j5]Pau Closas, Lorenzo Ortega, Julien Lesouple, Petar M. Djuric:
Emerging trends in signal processing and machine learning for positioning, navigation and timing information: special issue editorial. EURASIP J. Adv. Signal Process. 2024(1): 84 (2024) - [c8]Younes Boutiyarzist, Julien Lesouple, Jean-Yves Tourneret:
Robust Hypersphere Fitting from Noisy Data Using Gibbs Sampling. EUSIPCO 2024: 2532-2536 - [c7]Emile Ghizzo, Axel Garcia Pena, Julien Lesouple, Carl Milner, Christophe Macabiau:
Assessing GNSS Carrier-to-Noise-Density Ratio Estimation in The Presence of Meaconer Interference. ICASSP 2024: 8971-8975 - 2023
- [c6]Julien Lesouple, Lorenzo Ortega:
An EM Approach for GNSS Parameters of Interest Estimation Under Constant Modulus Interference. EUSIPCO 2023: 820-824 - 2022
- [c5]Julien Lesouple, Philippe Burger, Jean-Yves Tourneret:
An EM Algorithm for Mixtures of Hyperspheres. EUSIPCO 2022: 877-881 - 2021
- [j4]Julien Lesouple, Cédric Baudoin, Marc Spigai, Jean-Yves Tourneret:
Generalized isolation forest for anomaly detection. Pattern Recognit. Lett. 149: 109-119 (2021) - [j3]Julien Lesouple, Cédric Baudoin, Marc Spigai, Jean-Yves Tourneret:
How to introduce expert feedback in one-class support vector machines for anomaly detection? Signal Process. 188: 108197 (2021) - [j2]Julien Lesouple, Barbara Pilastre, Yoann Altmann, Jean-Yves Tourneret:
Hypersphere Fitting From Noisy Data Using an EM Algorithm. IEEE Signal Process. Lett. 28: 314-318 (2021) - [c4]Julien Lesouple, Barbara Pilastre, Yoann Altmann, Jean-Yves Tourneret:
Robust Hypersphere Fitting from Noisy Data Using an EM Algorithm. EUSIPCO 2021: 1-5 - 2020
- [c3]Julien Lesouple, Jean-Yves Tourneret:
Incorporating User Feedback Into One-Class Support Vector Machines for Anomaly Detection. EUSIPCO 2020: 1608-1612
2010 – 2019
- 2019
- [b1]Julien Lesouple:
Estimation parcimonieuse de biais multitrajets pour les systèmes GNSS. (Sparse estimation of multipath biases for GNSS). National Polytechnic Institute of Toulouse, France, 2019 - [j1]Julien Lesouple, Thierry Robert, Mohamed Sahmoudi, Jean-Yves Tourneret, Willy Vigneau:
Multipath Mitigation for GNSS Positioning in an Urban Environment Using Sparse Estimation. IEEE Trans. Intell. Transp. Syst. 20(4): 1316-1328 (2019) - 2018
- [c2]Julien Lesouple, Franck Barbiero, Frederic Faurie, Mohamed Sahmoudi, Jean-Yves Tourneret:
Smooth Bias Estimation for Multipath Mitigation Using Sparse Estimation. FUSION 2018: 1684-1690 - [c1]Julien Lesouple, Jean-Yves Tourneret, Mohamed Sahmoudi, Franck Barbiero, Frederic Faurie:
Multipath Mitigation in Global Navigation Satellite Systems Using a Bayesian Hierarchical Model With Bernoulli Laplacian Priors. SSP 2018: 578-582
Coauthor Index
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