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Aurélia FRAYSSE

Associate Professor

L2S, CentraleSupélec
Bât. Breguet C4.17
3 rue Joliot Curie
91190 Gif-sur-Yvette, France

+33 (0)1 69 85 17 39

Publications

Journal articles

2022

Group sparsity penalized contrast source solution method for 2-D non-linear inverse scattering

Zhang, Lambert, Fraysse, Lesselier
IEEE Open Journal of Antennas and Propagation, 3, p. 48-58, 2022
2020

Fast Joint Multiband Reconstruction from Wideband Images Based on Low Rank Approximation

Hadj-Youcef, Orieux, Abergel, Fraysse
IEEE Transactions on Computational Imaging, p. 1-1, 2020
2019
2015

Efficient Variational Bayesian Approximation Method Based on Subspace optimization

Zheng, Fraysse, Rodet
IEEE Trans.Image Process., 24 (2), Institute of Electrical and Electronics Engineers, p. 681–693, 2015
2014

Rate-distortion bounds for Wyner-Ziv coding with Gaussian scale mixture correlation noise

Bassi, Fraysse, Dupraz, Kieffer
IEEE Transactions on Information Theory, 60 (12), p. 7540-7546, 2014

A Bit Allocation Method for Sparse Source Coding

Kaaniche, Fraysse, Pesquet-Popescu, Pesquet
IEEE Trans.Image Process., 23 (1), Institute of Electrical and Electronics Engineers, p. 137-152, 2014

A measure-theoretic variational Bayesian algorithm for large dimensional problems

Fraysse, Rodet
SIIMS SIAM J. Imaging Sci, 7 (4), Society for Industrial and Applied Mathematics, p. 2591-2622, 2014
2013

Why minimax is not that pessimistic

Fraysse
ESAIM: PS, 17, EDP Sciences, p. 472-484, 2013
2010

Regularity criteria of almost every function in a Sobolev space

Fraysse
J. Funct. Anal., Elsevier, p. 1806-1821, 2010
2009

On the uniform quantization of a class of sparse sources

Fraysse, Pesquet-Popescu, Pesquet
IEEE Transactions on Information Theory, 55 (7), p. 3243-3263, 2009

Conference papers

2021

Use of sparsity in nonlinear electromagnetic imaging: wavelet-based contrast source method

Zhang, Lambert, Fraysse, Lesselier
XXXIV General Assembly and Scientific Symposium (GASS) of the International Union of Radio Science, Rome, Italie, 2021

A wavelet-based contrast source inversion method

Zhang, Lambert, Fraysse, Lesselier
2021 IEEE 19th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM), Winnipeg, Canada, 2021

A Small-Scale Network for Seismic Patterns Classification

DA Silva, Charléty, Fraysse, Pesquet
2020 28th European Signal Processing Conference (EUSIPCO), Amsterdam, Pays-Bas, 2021
2018

Sparse Time-Frequency Representation of Gravitational-Wave signals in Unions of Wilson Bases

Bammey, Bacon, Chassande-Mottin, Fraysse, Jaffard
26th European Signal Processing Conference (EUSIPCO 2018), Rome, Italie, 2018

Structured sparsity regularization for gravitational- wave polarization reconstruction

Feng, Chassande-Mottin, Bacon, Fraysse
26th European Signal Processing Conference (EUSIPCO 2018), Roma, Italie, 2018

Spatio-Spectral Multichannel Reconstruction from few Low-Resolution Multispectral Data

Hadj-Youcef, Orieux, Fraysse, Abergel
26th European Signal Processing Conference (EUSIPCO 2018), Rome, Italie, 2018
2017

Restauration d’objets astrophysiques à partir de données multispectrales floues et d’une réponse instrument non-stationnaire

Hadj-Youcef, Orieux, Fraysse, Abergel
26eme Colloque GRETSI Traitement du Signal & des Images, GRETSI 2017, Juan Les Pins, France, 2017

Parcimonie structurée pour l’imagerie micro-ondes

Zaimaga, Fraysse, Lambert
26eme Colloque GRETSI Traitement du Signal & des Images, GRETSI 2017, Juan Les Pins, France, 2017

Nonlinear imaging of 3D defect in anisotropic laminate using joint sparsity constraints

Zaimaga, Fraysse, Lambert
18th International Symposium on Applied Electromagnetics and Mechanics (ISEM 2017), Chamonix, France, 2017

Restoration from Multispectral Blurred Data with Non-Stationary Instrument Response

Hadj-Youcef, Orieux, Fraysse, Hadj-Youcef˚, Orieux˚, Fraysse˚, Abergel
25th European Signal Processing Conference (EUSIPCO 2017), kos, Grèce, 2017

Books

2015
Chapitres d’ouvrages scientifiques

Variational Bayesian Approach and Bi-Model for the Reconstruction-Separation of Astrophysics Components

Rodet, Fraysse, Ayasso
in Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing, pp. 225-249, Wiley-ISTE, 2015
2013

Approche bayésienne variationnelle et bimodèle pour la reconstruction-séparation de composantes astrophysiques

Rodet, Fraysse, Ayasso
in Méthodes d’inversion appliquées au traitement du signal et de l’image, pp. 249-273, Lavoisier, 2013

Patents and software

These/HDR