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Regularized least squares phase sampling interferometry
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DOI：10.1364/OE.19.005002.png)
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Abstract
En 中文
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. (c) 2011 Optical Society of America
Keywords:
SPECKLE-PATTERN INTERFEROMETRY
SHIFTING ALGORITHMS
TRANSFORM
Journal
IF:
3.3
Papers:
6.1W
Citations:
14.3W