Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Iterative Linear Equation Approach

Not Accessible

Your library or personal account may give you access

Abstract

Reconstructing wavefront from slope data is a basic technique in optical testing and in media turbulence characterization. A popular approach today is to reconstruct the wavefront from slope data based on the linear least squares method. A frequent problem encountered in practice is the need to establish a different reconstruction matrix for each pupil shape under test, and setting up a reconstruction matrix maybe laborious and time-consuming. In 2000[1], Zou proposed a generalized algorithm based on linear least-squares method, which can be applied for irregular-shape pupils. This algorithm is efficient, but the wavefront reconstructed with this algorithm leads to more than 4-λ deviation errors (peak-to-valley) from the original. Now we propose a iterative process to reduce this deviation errors.

© 2003 Optical Society of America

PDF Article
More Like This
Iterative methods for sparse systems of linear equations with application to guided-wave optics

Gerard Sleijpen
ITuD1 Integrated Photonics Research (IPR) 2001

New iterative approach for designing Bragg gratings

Nikolai Plougmann, Martin Kristensen, and Hans-Jürgen Deyerl
MD17 Bragg Gratings, Photosensitivity, and Poling in Glass Waveguides (BGPP) 2003

Iterative Approaches To Computer-Generated Holography*

Jan P. Allebach, Brian K. Jennison, and Donald W. Sweeney
ThC1 Signal Recovery and Synthesis (SRS) 1989

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved