Arnaud Breloy

Orcid: 0000-0002-3802-9015

According to our database1, Arnaud Breloy authored at least 67 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Through the Wall Radar Imaging via Kronecker-structured Huber-type RPCA.
Signal Process., January, 2024

Online change detection in SAR time-series with Kronecker product structured scaled Gaussian models.
Signal Process., 2024

Regularized maximum likelihood estimation for radio interferometric imaging in the presence of radiofrequency interferences.
Signal Process., 2024

Robust Low-Rank Correlation Fitting.
Proceedings of the IEEE International Conference on Acoustics, 2024

Sparse PCA with False Discovery Rate Controlled Variable Selection.
Proceedings of the IEEE International Conference on Acoustics, 2024

Through-The-Wall Radar Imaging With Wall Clutter Removal Via Riemannian Optimization On The Fixed-Rank Manifold.
Proceedings of the IEEE International Conference on Acoustics, 2024

Leveraging Standardization in Graph Learning.
Proceedings of the 32nd European Signal Processing Conference, 2024

Deep Unrolling of Robust PCA and Convolutional Sparse Coding for Stationary Target Localization in Through Wall Radar Imaging.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Riemannian Optimization for Non-Centered Mixture of Scaled Gaussian Distributions.
IEEE Trans. Signal Process., 2023

Robust Phase Linking in InSAR.
IEEE Trans. Geosci. Remote. Sens., 2023

Natural Bayesian Cramér-Rao Bound with an Application to Covariance Estimation.
CoRR, 2023

The Fisher-Rao geometry of CES distributions.
CoRR, 2023

Learning Graphical Factor Models with Riemannian Optimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Entropic Wasserstein Component Analysis.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Covariance fitting based InSAR Phase Linking.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Robust and Globally Sparse Pca via Majorization-Minimization and Variable Splitting.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Regularized Tapered Sample Covariance Matrix.
IEEE Trans. Signal Process., 2022

Multifrequency array calibration in presence of radio frequency interferences.
Signal Process., 2022

Robust low-rank covariance matrix estimation with a general pattern of missing values.
Signal Process., 2022

A Robust EM Algorithm for Radio Interferometric Imaging in The Presence of Outliers.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2022

A New Phase Linking Algorithm for Multi-temporal InSAR based on the Maximum Likelihood Estimator.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

On the Use of Geodesic Triangles between Gaussian Distributions for Classification Problems.
Proceedings of the IEEE International Conference on Acoustics, 2022

Robust Geometric Metric Learning.
Proceedings of the 30th European Signal Processing Conference, 2022

Robust PCA for Through-the-Wall Radar Imaging.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
Matched and Mismatched Estimation of Kronecker Product of Linearly Structured Scatter Matrices Under Elliptical Distributions.
IEEE Trans. Signal Process., 2021

Probabilistic PCA From Heteroscedastic Signals: Geometric Framework and Application to Clustering.
IEEE Trans. Signal Process., 2021

Majorization-Minimization on the Stiefel Manifold With Application to Robust Sparse PCA.
IEEE Trans. Signal Process., 2021

A Riemannian Framework for Low-Rank Structured Elliptical Models.
IEEE Trans. Signal Process., 2021

Robust mean and covariance matrix estimation under heterogeneous mixed-effects model with missing values.
Signal Process., 2021

MIMO filters based on robust rank-constrained Kronecker covariance matrix estimation.
Signal Process., 2021

A Tyler-Type Estimator of Location and Scatter Leveraging Riemannian Optimization.
Proceedings of the IEEE International Conference on Acoustics, 2021

Expectation-Maximization Based Direction of Arrival Estimation Under a Mixture of Noise.
Proceedings of the 29th European Signal Processing Conference, 2021

On-line Kronecker Product Structured Covariance Estimation with Riemannian geometry for t-distributed data.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Robust Low-Rank Change Detection for Multivariate SAR Image Time Series.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

On the performance of robust plug-in detectors using <i>M</i>-estimators.
Signal Process., 2020

Bayesian signal subspace estimation with compound Gaussian sources.
Signal Process., 2020

Two-Dimensional Robust Source Localization Under Non-Gaussian Noise.
Circuits Syst. Signal Process., 2020

Riemannian Geometry and Cramér-rao Bound for Blind Separation of Gaussian Sources.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Riemannian Framework for Robust Covariance Matrix Estimation in Spiked Models.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Efficient Estimation of Kronecker Product of Linear Structured Scatter Matrices under t-distribution.
Proceedings of the 28th European Signal Processing Conference, 2020

A Riemannian approach to blind separation of t-distributed sources.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
On the Asymptotics of Maronna's Robust PCA.
IEEE Trans. Signal Process., 2019

Asymptotic Performance of Complex $M$-Estimators for Multivariate Location and Scatter Estimation.
IEEE Signal Process. Lett., 2019

Intrinsic Cramér-Rao Bounds for Scatter and Shape Matrices Estimation in CES Distributions.
IEEE Signal Process. Lett., 2019

Robust estimation of structured scatter matrices in (mis)matched models.
Signal Process., 2019

Detection Methods Based on Structured Covariance Matrices for Multivariate SAR Images Processing.
IEEE Geosci. Remote. Sens. Lett., 2019

Robust Low-Rank Change Detection for Sar Image Time Series.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

On the Recursions of Robust COMET Algorithm for Convexly Structured Shape Matrix.
Proceedings of the 27th European Signal Processing Conference, 2019

Signal subspace change detection in structured covariance matrices.
Proceedings of the 27th European Signal Processing Conference, 2019

Bayesian Robust Signal Subspace Estimation in Non-Gaussian Environment.
Proceedings of the 27th European Signal Processing Conference, 2019

Modified Sparse Subspace Clustering for Radar Detection in Non-stationary Clutter.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Spectral Shrinkage of Tyler's $M$-Estimator of Covariance Matrix.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018
Efficient Estimation of Scatter Matrix with Convex Structure Under $T$ -Distribution.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Robust Subspace Clustering for Radar Detection.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
A subspace approach for shrinkage parameter selection in undersampled configuration for Regularised Tyler Estimators.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

New asymptotic properties for the robust ANMF.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Robust-COMET for covariance estimation in convex structures: Algorithm and statistical properties.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016
Low-Complexity Algorithms for Low Rank Clutter Parameters Estimation in Radar Systems.
IEEE Trans. Signal Process., 2016

Robust Covariance Matrix Estimation in Heterogeneous Low Rank Context.
IEEE Trans. Signal Process., 2016

A robust signal subspace estimator.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Block majorization-minimization algorithms for low-rank clutter subspace estimation.
Proceedings of the 24th European Signal Processing Conference, 2016

Robust rank constrained kronecker covariance matrix estimation.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Clutter Subspace Estimation in Low Rank Heterogeneous Noise Context.
IEEE Trans. Signal Process., 2015

Asymptotic detection performance analysis of the robust Adaptive Normalized Matched Filter.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
CFAR property and robustness of the lowrank adaptive normalized matched filters detectors in low rank compound gaussian context.
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

Robust estimation of the clutter subspace for a Low Rank heterogeneous noise under high Clutter to Noise Ratio assumption.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Maximum likelihood estimation of clutter subspace in non homogeneous noise context.
Proceedings of the 21st European Signal Processing Conference, 2013


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