Sparse prediction of turbulence in time and space

Rufus Fraanje, Niek Doelman, Michel Verhaegen

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)

Abstract

Using a matching pursuit (MP) approach to solve least squares problems with a sparsity constraint sparse controllers are computed to compensate for atmospheric turbulence. The method has been validated by simulation of von Kármán turbulence with frozen flow for the case of prediction, reconstruction and control.

Original languageEnglish
Title of host publication1st AO4ELT Conference - Adaptive Optics for Extremely Large Telescopes
EditorsYann Clenet, Jean-Marc Conan, Thierry Fusco, Gerard Rousset
PublisherEDP Sciences
Number of pages6
ISBN (Electronic)9782759804962
DOIs
Publication statusPublished - 2010
Event1st International Conference on Adaptive Optics for Extremely Large Telescopes, AO4ELT 2009 - Paris, France
Duration: 22 Jun 200926 Jun 2009

Conference

Conference1st International Conference on Adaptive Optics for Extremely Large Telescopes, AO4ELT 2009
CountryFrance
CityParis
Period22/06/0926/06/09

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  • Cite this

    Fraanje, R., Doelman, N., & Verhaegen, M. (2010). Sparse prediction of turbulence in time and space. In Y. Clenet, J-M. Conan, T. Fusco, & G. Rousset (Eds.), 1st AO4ELT Conference - Adaptive Optics for Extremely Large Telescopes [07004] EDP Sciences. https://doi.org/10.1051/ao4elt/201007004