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https://doi.org/10.1109/cdc.20...
Article . 2007 . Peer-reviewed
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Atmospheric turbulence prediction: A PCA approach

Authors: BEGHI, ALESSANDRO; CENEDESE, ANGELO; MASIERO, ANDREA;

Atmospheric turbulence prediction: A PCA approach

Abstract

Current and next generation of telescopes resort to adaptive optics in order to compensate for atmospheric turbulence and correct the incident wavefront, which is affected mainly as far as the phase is concerned, in order to get clearer images of the observed objects. Starting from the statistical description of the atmospheric turbulence, the reconstruction of the turbulent phase is therefore a key problem in astronomical seeing and is central to designing control systems to command the adaptive optic deformable mirror. Moreover, the introduction of a dynamical model able to predict the turbulence helps improving the performance of the control system and its description through a principal component analysis (PCA) approach yields compactness to the representation while preserving the physical insight of a modal decomposition.

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Top 10%
Top 10%