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Proceedings Paper

Application of wavelets to wavefront reconstruction in adaptive optical systems
Author(s): Kevin West Bowman; William T. Rhodes
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Paper Abstract

One of the principle difficulties with popular wavefront reconstruction techniques such as least-squares estimators is that they are computationally intensive. In this paper a least-squares reconstructor is represented in terms of a 4-D wavelet basis. This representation is called the multiresolution wavefront reconstructor (MWR). A thresholding operation is applied to the MWR in order to remove wavelet coefficients of negligible magnitude. The resulting thresholded reconstructor matrix is sparse, leading to an estimate calculated in O(N3) operations, as opposed to O(N4) operations for the standard least-squares wavefront reconstructor. The thresholded multiresolution wavefront reconstructor is compared with other techniques in terms of computational complexity.

Paper Details

Date Published: 17 October 1997
PDF: 12 pages
Proc. SPIE 3126, Adaptive Optics and Applications, (17 October 1997); doi: 10.1117/12.290155
Show Author Affiliations
Kevin West Bowman, Jet Propulsion Lab. (United States)
William T. Rhodes, Georgia Tech Lorraine (France)


Published in SPIE Proceedings Vol. 3126:
Adaptive Optics and Applications
Robert K. Tyson; Robert Q. Fugate, Editor(s)

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