Sparse Image and Signal Processing : Wavelets, Curvelets, Morphological Diversity

Autor: Jean-Luc Starck, Fionn Murtagh, Jalal M. Fadili

This book presents the state of the art in sparse and multiscale image and signal processing, covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathe

Roughness measurements at one scattering direction with white light

Autor: Myriam Zerrad, Xavier Buet, Jean-Jacques-Narcisse Godeme, Michel Lequime, Jalal M. Fadili, Claude Amra

Publikováno v: Advances in Optical Thin Films VII
Advances in Optical Thin Films VII, Sep 2021, Online Only, France. pp.28, ⟨10.1117/12.2597030⟩

Scattering techniques are today well controlled to characterize roughnesses of high-precision substrates and coatings, which are around a fraction of a nanometer in the optical bandwidth [1, 2, 3]. All these techniques involve a receiver, sample or b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0639d5dff9b0c28b8018aece69b0b26c
https://doi.org/10.1117/12.2597030

Convergence Rates of Forward–Douglas–Rachford Splitting Method

Autor: Jingwei Liang, Cesare Molinari, Jalal M. Fadili

Publikováno v: Journal of Optimization Theory and Applications
Journal of Optimization Theory and Applications, Springer Verlag, 2019, 8 (4), ⟨10.1007/s10957-019-01524-9⟩

Over the past years, operator splitting methods have become ubiquitous for non-smooth optimization owing to their simplicity and efficiency. In this paper, we consider the Forward--Douglas--Rachford splitting method (FDR) [10,40], and study both glob

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12975fccf87fdf28e8ed39508817bb74
https://doi.org/10.1007/s10957-019-01524-9

Scale Space and Variational Methods in Computer Vision

Autor: Julien Rabin, Abderrahim Elmoataz, Jalal M. Fadili, Loic Simon, Yvain Quéau

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030755485
8th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2021)
8th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2021), May 2021, Online event, 12679, Springer, Cham, 2021, Lecture Notes in Computer Sciences, 978-3-030-75548-5. ⟨10.1007/978-3-030-75549-2⟩

International audience; This book constitutes the proceedings of the 8th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2021, which took place during May 16-20, 2021. The conference was planned to take place

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a776bea05b527110705dbc2a7d47932
https://doi.org/10.1007/978-3-030-75549-2

Optimal reduced model algorithms for data-based state estimation

Autor: Jalal M. Fadili, Olga Mula, Albert Cohen, James A. Nichols, Ronald A. DeVore, Wolfgang Dahmen

Publikováno v: SIAM Journal on Numerical Analysis
SIAM Journal on Numerical Analysis, 2020, ⟨10.1137/19M1255185⟩
SIAM Journal on Numerical Analysis, Society for Industrial and Applied Mathematics, 2020, ⟨10.1137/19M1255185⟩

International audience; Reduced model spaces, such as reduced basis and polynomial chaos, are linear spaces $V_n$ of finite dimension $n$ which are designed for the efficient approximation of families parametrized PDEs in a Hilbert space $V$. The man

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0629046430505d807e8747d03474ff8c
https://hal.science/hal-02404309