Zernike basis optimization for solar adaptive optics by using information theory
Applied Optics, Vol. 49, Issue 11, pp. 2090-2094 (2010)
http://dx.doi.org/10.1364/AO.49.002090
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Abstract
Karhunen–Loève functions represent the best choice for modal wavefront reconstruction. They are usually built up as a linear combination of Zernike polynomials by using principal component analysis methods; thus they are ordered by covariance. Using Shannon information theory, we provide a best reordering procedure based on the concept of mutual information. This enhances reconstruction efficiency, allowing us to reduce the basis dimension while maintaining the same fitting error in wavefront reconstruction.
© 2010 Optical Society of America
OCIS Codes
(010.1080) Atmospheric and oceanic optics : Active or adaptive optics
(010.7350) Atmospheric and oceanic optics : Wave-front sensing
ToC Category:
Atmospheric and Oceanic Optics
History
Original Manuscript: October 26, 2009
Revised Manuscript: February 10, 2010
Manuscript Accepted: March 14, 2010
Published: April 5, 2010
Citation
Marco Stangalini, Dario Del Moro, Francesco Berrilli, and Oskar von der Lühe, "Zernike basis optimization for solar adaptive optics by using information theory," Appl. Opt. 49, 2090-2094 (2010)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-49-11-2090
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