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Beyond FRiM, ASAP: a family of sparse approximation for covariance matrices and preconditioners

Authors :
Thiébaut, Éric
Tallon, Michel
Thé, Samuel
Denis, Loïc
Centre de Recherche Astrophysique de Lyon (CRAL)
École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Université de Lyon-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)
Laboratoire Hubert Curien (LHC)
Institut d'Optique Graduate School (IOGS)-Université Jean Monnet - Saint-Étienne (UJM)-Centre National de la Recherche Scientifique (CNRS)
Laura Schreiber
Dirk Schmidt
Elise Vernet
Source :
Adaptive Optics Systems VIII, Adaptive Optics Systems VIII, Jul 2022, Montréal, Canada. pp.121852Q, ⟨10.1117/12.2630192⟩
Publication Year :
2022
Publisher :
SPIE, 2022.

Abstract

International audience; The FRiM fractal operator belongs to a family of operators, called ASAP, defined by an ordered selection of nearest neighbors. This generalization provides means to improve upon the good properties of FRiM. We propose a fast algorithm to build an ASAP operator mimicking the fractal structure of FRiM for pupils of any size and geometry and to learn the sparse coefficients from empirical data. We empirically show the good approximation by ASAP of correlated statistics and the benefits of ASAP for solving phase restoration problems.

Details

Database :
OpenAIRE
Journal :
Adaptive Optics Systems VIII
Accession number :
edsair.doi.dedup.....80f538993693d70536de12dbaa0df365
Full Text :
https://doi.org/10.1117/12.2630192