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Guillaume Ginolhac
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2020 – today
- 2024
- [j38]Hugo Brehier
, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac:
Through the Wall Radar Imaging via Kronecker-structured Huber-type RPCA. Signal Process. 214: 109228 (2024) - [j37]Ammar Mian
Online change detection in SAR time-series with Kronecker product structured scaled Gaussian models. Signal Process. 224: 109589 (2024) - [j36]Rémi Beisson
A New Statistic for Testing Covariance Equality in High-Dimensional Gaussian Low-Rank Models. IEEE Trans. Signal Process. 72: 1797-1812 (2024) - [c56]Hugo Brehier, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac:
Deep Unrolling of Robust PCA and Convolutional Sparse Coding for Stationary Target Localization in Through Wall Radar Imaging. EUSIPCO 2024: 1881-1885 - [c55]Hugo Brehier, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac:
Through-The-Wall Radar Imaging With Wall Clutter Removal Via Riemannian Optimization On The Fixed-Rank Manifold. ICASSP 2024: 8596-8600 - [c54]Florent Bouchard, Ammar Mian, Malik Tiomoko, Guillaume Ginolhac, Frédéric Pascal:
Random matrix theory improved Fréchet mean of symmetric positive definite matrices. ICML 2024 - [c53]Douba Jafuno, Ammar Mian, Guillaume Ginolhac, Nickolas Stelzenmuller:
Buried Object Classification from GPR Data by using Second Order Deep Learning Models. IGARSS 2024: 6513-6516 - [c52]Dana El Hajjar, Yajing Yan, Guillaume Ginolhac, Mohammed Nabil El Korso:
Sequential Phase Linking : Progressive Integration of SAR Images for Operational Phase Estimation. IGARSS 2024: 11470-11473 - [i8]Florent Bouchard, Ammar Mian, Malik Tiomoko, Guillaume Ginolhac, Frédéric Pascal:
Random matrix theory improved Fréchet mean of symmetric positive definite matrices. CoRR abs/2405.06558 (2024) - [i7]Douba Jafuno, Ammar Mian, Guillaume Ginolhac, Nickolas Stelzenmuller:
Classification of Buried Objects from Ground Penetrating Radar Images by using Second Order Deep Learning Models. CoRR abs/2410.07117 (2024) - 2023
- [j35]Matthieu Gallet
New Robust Sparse Convolutional Coding Inversion Algorithm for Ground Penetrating Radar Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j34]Phan Viet Hoa Vu
Robust Phase Linking in InSAR. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - [j33]Antoine Collas
Riemannian Optimization for Non-Centered Mixture of Scaled Gaussian Distributions. IEEE Trans. Signal Process. 71: 2475-2490 (2023) - [c51]Phan Viet Hoa Vu, Arnaud Breloy, Frédéric Brigui, Yajing Yan, Guillaume Ginolhac:
Covariance fitting based InSAR Phase Linking. IGARSS 2023: 8234-8237 - [i6]Florent Bouchard, Arnaud Breloy, Antoine Collas, Alexandre Renaux, Guillaume Ginolhac:
The Fisher-Rao geometry of CES distributions. CoRR abs/2310.01032 (2023) - [i5]Florent Bouchard, Alexandre Renaux, Guillaume Ginolhac, Arnaud Breloy:
Natural Bayesian Cramér-Rao Bound with an Application to Covariance Estimation. CoRR abs/2311.04748 (2023) - 2022
- [j32]Alexandre Hippert-Ferrer, Mohammed Nabil El Korso, Arnaud Breloy, Guillaume Ginolhac:
Robust low-rank covariance matrix estimation with a general pattern of missing values. Signal Process. 195: 108460 (2022) - [c50]Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, Jean Philippe Ovarlez:
Robust Geometric Metric Learning. EUSIPCO 2022: 1447-1451 - [c49]Hugo Brehier, Arnaud Breloy, Chengfang Ren, Israel Hinostroza, Guillaume Ginolhac:
Robust PCA for Through-the-Wall Radar Imaging. EUSIPCO 2022: 2246-2250 - [c48]Antoine Collas, Florent Bouchard, Guillaume Ginolhac, Arnaud Breloy, Chengfang Ren, Jean Philippe Ovarlez:
On the Use of Geodesic Triangles between Gaussian Distributions for Classification Problems. ICASSP 2022: 5697-5701 - [c47]Phan Viet Hoa Vu, Frédéric Brigui, Arnaud Breloy, Yajing Yan, Guillaume Ginolhac:
A New Phase Linking Algorithm for Multi-temporal InSAR based on the Maximum Likelihood Estimator. IGARSS 2022: 76-79 - [c46]Matthieu Gallet
Classification of GPR Signals Via Covariance Pooling on CNN Features Within a Riemannian Framework. IGARSS 2022: 365-368 - [i4]Antoine Collas, Arnaud Breloy, Guillaume Ginolhac, Chengfang Ren, Jean Philippe Ovarlez:
Robust Geometric Metric Learning. CoRR abs/2202.11550 (2022) - [i3]Antoine Collas, Arnaud Breloy, Chengfang Ren, Guillaume Ginolhac, Jean Philippe Ovarlez:
Riemannian optimization for non-centered mixture of scaled Gaussian distributions. CoRR abs/2209.03315 (2022) - 2021
- [j31]Arnaud Breloy, Guillaume Ginolhac, Yongchan Gao, Frédéric Pascal:
MIMO filters based on robust rank-constrained Kronecker covariance matrix estimation. Signal Process. 187: 108116 (2021) - [j30]Alexandre Hippert-Ferrer, Mohammed Nabil El Korso
Robust mean and covariance matrix estimation under heterogeneous mixed-effects model with missing values. Signal Process. 188: 108195 (2021) - [j29]Florent Bouchard
A Riemannian Framework for Low-Rank Structured Elliptical Models. IEEE Trans. Signal Process. 69: 1185-1199 (2021) - [j28]Antoine Collas
Probabilistic PCA From Heteroscedastic Signals: Geometric Framework and Application to Clustering. IEEE Trans. Signal Process. 69: 6546-6560 (2021) - [c45]Florent Bouchard, Arnaud Breloy, Ammar Mian, Guillaume Ginolhac:
On-line Kronecker Product Structured Covariance Estimation with Riemannian geometry for t-distributed data. EUSIPCO 2021: 856-859 - [c44]Antoine Collas, Florent Bouchard, Arnaud Breloy, Chenfang Ren, Guillaume Ginolhac, Jean Philippe Ovarlez
A Tyler-Type Estimator of Location and Scatter Leveraging Riemannian Optimization. ICASSP 2021: 5160-5164 - [c43]Violeta Roizman, Guillaume Ginolhac, Matthieu Jonckheere
On Change Detection for Polsar Image Time Series: A New Clustering Approach. SSP 2021: 56-60 - [c42]Rémi Beisson, Pascal Vallet, Audrey Giremus, Guillaume Ginolhac:
Change Detection in The Covariance Structure of High-Dimensional Gaussian Low-Rank Models. SSP 2021: 421-425 - 2020
- [j27]Florent Bouchard, Ammar Mian, Jialun Zhou, Salem Said, Guillaume Ginolhac, Yannick Berthoumieu:
Riemannian geometry for compound Gaussian distributions: Application to recursive change detection. Signal Process. 176: 107716 (2020) - [j26]Ammar Mian
Robust Low-Rank Change Detection for Multivariate SAR Image Time Series. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 3545-3556 (2020) - [c41]Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Alexandre Renaux
A Riemannian approach to blind separation of t-distributed sources. EUSIPCO 2020: 965-969 - [c40]Florent Bouchard, Arnaud Breloy, Alexandre Renaux
Riemannian Geometry and Cramér-rao Bound for Blind Separation of Gaussian Sources. ICASSP 2020: 4717-4721 - [c39]Florent Bouchard, Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal:
Riemannian Framework for Robust Covariance Matrix Estimation in Spiked Models. ICASSP 2020: 5979-5983 - [i2]Florent Bouchard, Ammar Mian, Jialun Zhou, Salem Said, Guillaume Ginolhac, Yannick Berthoumieu:
Riemannian geometry for Compound Gaussian distributions: application to recursive change detection. CoRR abs/2005.10087 (2020)
2010 – 2019
- 2019
- [j25]Arnaud Breloy
Intrinsic Cramér-Rao Bounds for Scatter and Shape Matrices Estimation in CES Distributions. IEEE Signal Process. Lett. 26(2): 262-266 (2019) - [j24]Alice Combernoux, Frédéric Pascal, Guillaume Ginolhac
Performance of the Low-Rank Adaptive Normalized Matched Filter Test Under a Large Dimension Regime. IEEE Trans. Aerosp. Electron. Syst. 55(1): 459-468 (2019) - [j23]Alice Combernoux, Frédéric Pascal, Guillaume Ginolhac
Theoretical Performance of Low Rank Adaptive Filters in the Large Dimensional Regime. IEEE Trans. Aerosp. Electron. Syst. 55(6): 3347-3364 (2019) - [j22]Ammar Mian
Design of New Wavelet Packets Adapted to High-Resolution SAR Images With an Application to Target Detection. IEEE Trans. Geosci. Remote. Sens. 57(6): 3919-3932 (2019) - [j21]Ammar Mian
New Robust Statistics for Change Detection in Time Series of Multivariate SAR Images. IEEE Trans. Signal Process. 67(2): 520-534 (2019) - [c38]Pascal Vallet, Guillaume Ginolhac, Frédéric Pascal
Performance Analysis of a Low-Rank Detector Under Training Data Contamination. CAMSAP 2019: 405-409 - [c37]Ammar Mian, Lucien Bacharach, Guillaume Ginolhac, Alexandre Renaux
Designing Sar Images Change-point Estimation Strategies Using an Mse Lower Bound. ICASSP 2019: 5312-5316 - [c36]Pascal Vallet, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
An Improved Low Rank Detector in the High Dimensional Regime. ICASSP 2019: 5336-5340 - [c35]Malik Tiomoko, Romain Couillet, Florent Bouchard, Guillaume Ginolhac:
Random Matrix Improved Covariance Estimation for a Large Class of Metrics. ICML 2019: 6254-6263 - [c34]Ammar Mian, Arnaud Breloy, Guillaume Ginolhac, Jean Philippe Ovarlez:
Robust Low-Rank Change Detection for Sar Image Time Series. IGARSS 2019: 10079-10082 - [i1]Malik Tiomoko, Florent Bouchard, Guillaume Ginolhac, Romain Couillet:
Random Matrix Improved Covariance Estimation for a Large Class of Metrics. CoRR abs/1902.02554 (2019) - 2018
- [j20]Frédéric Brigui, Maxime Boizard, Guillaume Ginolhac
New Low-Rank Filters for MIMO-STAP Based on an Orthogonal Tensorial Decomposition. IEEE Trans. Aerosp. Electron. Syst. 54(3): 1208-1220 (2018) - [c33]Eric Chaumette, François Vincent, Guillaume Ginolhac:
Detection of Swerling III-IV rank-one signals in Gaussian noise with unknown statistics. ACSSC 2018: 2072-2076 - [c32]Ammar Mian, Jean Philippe Ovarlez
Robust Detection and Estimation of Change-Points in a Time Series of Multivariate Images. EUSIPCO 2018: 1097-1101 - [c31]Ammar Mian, Jean Philippe Ovarlez
A Robust Change Detector for Highly Heterogeneous Multivariate Images. ICASSP 2018: 3429-3433 - 2017
- [j19]Q. Hoarau, Guillaume Ginolhac, Abdourrahmane M. Atto, Jean-Marie Nicolas:
Robust adaptive detection of buried pipes using GPR. Signal Process. 132: 293-305 (2017) - [c30]Ammar Mian, Jean Philippe Ovarlez
Multivariate change detection on high resolution monovariate SAR image using linear time-frequency analysis. EUSIPCO 2017: 1942-1946 - [c29]Q. Hoarau, Arnaud Breloy, Guillaume Ginolhac, Abdourrahmane M. Atto, Jean-Marie Nicolas:
A subspace approach for shrinkage parameter selection in undersampled configuration for Regularised Tyler Estimators. ICASSP 2017: 3291-3295 - [c28]Jean Philippe Ovarlez
Multivariate Linear Time-Frequency modeling and adaptive robust target detection in highly textured monovariate SAR image. ICASSP 2017: 4029-4033 - 2016
- [j18]Philippe Forster
Derivation of the theoretical performance of a Tensor MUSIC algorithm. Signal Process. 129: 97-105 (2016) - [j17]Guillaume Ginolhac, Philippe Forster
Approximate distribution of the low-rank adaptive normalized matched filter test statistic under the null hypothesis. IEEE Trans. Aerosp. Electron. Syst. 52(4): 2016-2023 (2016) - [j16]Ying Sun, Arnaud Breloy, Prabhu Babu, Daniel P. Palomar
Low-Complexity Algorithms for Low Rank Clutter Parameters Estimation in Radar Systems. IEEE Trans. Signal Process. 64(8): 1986-1998 (2016) - [j15]Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
Robust Covariance Matrix Estimation in Heterogeneous Low Rank Context. IEEE Trans. Signal Process. 64(22): 5794-5806 (2016) - [c27]Arnaud Breloy, Ying Sun, Prabhu Babu, Guillaume Ginolhac, Daniel Pérez Palomar
Robust rank constrained kronecker covariance matrix estimation. ACSSC 2016: 810-814 - [c26]Q. Hoarau, Guillaume Ginolhac, Abdourrahmane M. Atto, Jean-Marie Nicolas, Jean Philippe Ovarlez
Robust adaptive detection of buried pipes using GPR. EUSIPCO 2016: 533-537 - [c25]Arnaud Breloy, Ying Sun, Prabhu Babu, Guillaume Ginolhac, Daniel Pérez Palomar
A robust signal subspace estimator. SSP 2016: 1-4 - 2015
- [j14]Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
Clutter Subspace Estimation in Low Rank Heterogeneous Noise Context. IEEE Trans. Signal Process. 63(9): 2173-2182 (2015) - [c24]Alice Combernoux, Frédéric Pascal, Guillaume Ginolhac, Marc Lesturgie:
Asymptotic performance of the Low Rank Adaptive Normalized Matched Filter in a large dimensional regime. ICASSP 2015: 2599-2603 - [c23]Nizar Bouhlel
Multivariate statistical modeling for multi-temporal SAR change detection using wavelet transforms. MultiTemp 2015: 1-4 - 2014
- [j13]Maxime Boizard, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster:
Low-rank filter and detector for multidimensional data based on an alternative unfolding HOSVD: application to polarimetric STAP. EURASIP J. Adv. Signal Process. 2014: 119 (2014) - [j12]Guillaume Ginolhac, Philippe Forster
Exploiting persymmetry for low-rank Space Time Adaptive Processing. Signal Process. 97: 242-251 (2014) - [j11]Frédéric Brigui, Guillaume Ginolhac, Laetitia Thirion-Lefevre, Philippe Forster
New SAR target imaging algorithm based on oblique projection for clutter reduction. IEEE Trans. Aerosp. Electron. Syst. 50(2): 1118-1137 (2014) - [j10]Frédéric Brigui, Laetitia Thirion-Lefevre, Guillaume Ginolhac, Philippe Forster
New SAR Algorithm Based on Orthogonal Projections for MMT Detection and Interference Reduction. IEEE Trans. Geosci. Remote. Sens. 52(7): 3800-3811 (2014) - [c22]Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
Robust estimation of the clutter subspace for a Low Rank heterogeneous noise under high Clutter to Noise Ratio assumption. ICASSP 2014: 66-70 - [c21]Arnaud Breloy, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
CFAR property and robustness of the lowrank adaptive normalized matched filters detectors in low rank compound gaussian context. SAM 2014: 301-304 - 2013
- [j9]Guillaume Ginolhac, Philippe Forster
Performance of Two Low-Rank STAP Filters in a Heterogeneous Noise. IEEE Trans. Signal Process. 61(1): 57-61 (2013) - [c20]Maxime Boizard, Frédéric Brigui, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
Multidimensional low-rank filter based on the AU-HOSVD for MIMO STAP. CAMSAP 2013: 412-415 - [c19]Maxime Boizard, Guillaume Ginolhac, Frédéric Pascal, Sebastian Miron, Philippe Forster:
Numerical performance of a tensor MUSIC algorithm based on HOSVD for a mixture of polarized sources. EUSIPCO 2013: 1-5 - [c18]Arnaud Breloy, Luc Le Magoarou, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster:
Maximum likelihood estimation of clutter subspace in non homogeneous noise context. EUSIPCO 2013: 1-5 - [c17]Alice Combernoux, Frédéric Pascal, Guillaume Ginolhac, Marc Lesturgie:
Random matrix theory applied to low rank stap detection. EUSIPCO 2013: 1-5 - 2012
- [j8]Franck Daout, Françoise Schmitt, Guillaume Ginolhac, Philippe Fargette:
Multistatic and Multiple Frequency Imaging Resolution Analysis¿Application to GPS-Based Multistatic Radar. IEEE Trans. Aerosp. Electron. Syst. 48(4): 3042-3057 (2012) - [j7]Guillaume Ginolhac, Philippe Forster
Derivation of the Bias of the Normalized Sample Covariance Matrix in a Heterogeneous Noise With Application to Low Rank STAP Filter. IEEE Trans. Signal Process. 60(1): 514-518 (2012) - [c16]Guillaume Ginolhac, Philippe Forster, Frédéric Pascal, Jean Philippe Ovarlez:
Exploiting persymmetry for Low-Rank Space Time Adaptive Processing. EUSIPCO 2012: 81-85 - [c15]Maxime Boizard, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster:
A new tool for multidimensional low-rank STAP filter: Cross HOSVDs. EUSIPCO 2012: 1324-1328 - [c14]Maxime Boizard, Guillaume Ginolhac, Frédéric Pascal, Philippe Forster
Low Rank Tensor STAP filter based on multilinear SVD. SAM 2012: 305-308 - 2011
- [j6]Rémi Durand, Guillaume Ginolhac, Laetitia Thirion-Lefevre, Philippe Forster
Back Projection Version of Subspace Detector SAR Processors. IEEE Trans. Aerosp. Electron. Syst. 47(2): 1489-1497 (2011) - [j5]Jean Philippe Ovarlez
Traitement STAP et modélisation SIRV : robustesse et persymétrie. Traitement du Signal 28(1-2): 113-142 (2011) - [j4]Guillaume Ginolhac, Philippe Forster
STAP à rang réduit, robuste et persymétrique. Traitement du Signal 28(1-2): 143-170 (2011) - [c13]Alice Combernoux, Guillaume Ginolhac, Philippe Forster:
Generalized rectification in the L1-norm with application to robust array processing. EUSIPCO 2011: 619-623 - [c12]Frédéric Brigui, Guillaume Ginolhac, Laetitia Thirion-Lefevre, Philippe Forster:
Performances of polarimetric subspace SAR processors for target detection and interference rejection. EUSIPCO 2011: 1703-1707 - [c11]Frédéric Brigui, Laetitia Thirion-Lefevre, Guillaume Ginolhac, Philippe Forster
Contribution of the polarimetric information in order to discriminate target from interference subspaces. Application to FoPen detection with SAR processing. IGARSS 2011: 138-141 - 2010
- [j3]Guillaume Ginolhac, Françoise Schmitt, Franck Daout, Philippe Forster:
Multifrequency and Multistatic Inverse Synthetic Aperture Radar, with Application to FM Passive Radar. EURASIP J. Adv. Signal Process. 2010 (2010) - [c10]Guillaume Ginolhac, Philippe Forster:
Performance analysis of a Robust Low-Rank STAP filter in low-rank Gaussian clutter. ICASSP 2010: 2746-2749 - [c9]Frédéric Brigui, Laetitia Thirion-Lefevre, Guillaume Ginolhac, Philippe Forster
Orthogonal polarimetric SAR processor based on signal and interference subspace models. IGARSS 2010: 2523-2526 - [c8]Frédéric Brigui, Laetitia Thirion-Lefevre, Guillaume Ginolhac, Philippe Forster
Oblique polarimetric SAR processor based on signal and interference subspace models. IGARSS 2010: 4027-4030
2000 – 2009
- 2009
- [j2]Guillaume Ginolhac, Philippe Forster:
A procedure for efficient estimation of multiple parameters in some nonlinear cases. Signal Process. 89(4): 680-684 (2009) - [c7]Guillaume Ginolhac, Philippe Forster
Spatio-temporal adaptive detector in non-homogeneous and low-rank clutter. ICASSP 2009: 2045-2048 - [c6]Frédéric Brigui, Laetitia Thirion-Lefevre, Guillaume Ginolhac, Philippe Forster
New polarimetric signal subspace detectors for SAR processors. ICASSP 2009: 2189-2192 - 2008
- [c5]Frédéric Maussang, Franck Daout, Guillaume Ginolhac, Françoise Schmitt:
Multistatic Scenarios for a GPS SAR System. IGARSS (3) 2008: 270-273 - 2007
- [c4]Rémi Durand, Guillaume Ginolhac, Laetitia Thirion, Philippe Forster
SAR Processor based on a CFAR Signal or Interference Subspace Detector Matched to Man Made Target Detection in a Forest. ICASSP (2) 2007: 293-296 - 2006
- [c3]Rémi Durand, Guillaume Ginolhac, Philippe Forster, Laetitia Thirion:
New SAR processor based on a subspace detector. EUSIPCO 2006: 1-5 - [c2]Rémi Durand, Laetitia Thirion, Guillaume Ginolhac, Philippe Forster
Man Made Target Detection in a Forest with a Subspace Detector SAR Processor. IGARSS 2006: 149-152 - 2005
- [c1]Franck Daout, Françoise Schmitt, Guillaume Ginolhac:
Computation of bistatic RCS with NEC2 in a context of passive ISAR system. IGARSS 2005: 3184-3187 - 2004
- [j1]Nicolas Le Bihan
Three-mode data set analysis using higher order subspace method: application to sonar and seismo-acoustic signal processing. Signal Process. 84(5): 919-942 (2004)
Coauthor Index
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