Regularized least squares phase sampling interferometry

In phase sampling interferometry, existing temporal analysis methods are sensitive to border effects and cannot deal with missing data. In this work we propose a quadrature filter that allows a reliable dynamic phase measurement for every sample, even in the cases involving few samples or missing da...

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Bibliographic Details
Published in:Optics express 2011-03, Vol.19 (6), p.5002-5013
Main Authors: Quiroga, Juan Antonio, Estrada, Julio Cesar, Servín, Manuel, Vargas, Javier
Format: Article
Language:English
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Summary:In phase sampling interferometry, existing temporal analysis methods are sensitive to border effects and cannot deal with missing data. In this work we propose a quadrature filter that allows a reliable dynamic phase measurement for every sample, even in the cases involving few samples or missing data. The method is based on the use of a regularized least squares cost function that enforces the quadrature character of the filter. A comparison with existing techniques shows the effectiveness of the proposed method.
ISSN:1094-4087
1094-4087
DOI:10.1364/OE.19.005002