1 August 1998 Extended averaging and data windowing techniques in phase-stepping measurements: an approach using the characteristic polynomial theory
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Optical Engineering, 37(8), (1998). doi:10.1117/1.601753
Abstract
The extended averaging technique and the data windowing technique used in phase-stepping are investigated using the characteristic polynomials. It is shown that the phase measurement algorithms derived using the extended averaging technique are not in general more efficient and may require more samples than those obtained directly from the rules of the characteristic polynomial theory.
Yves Surrel, "Extended averaging and data windowing techniques in phase-stepping measurements: an approach using the characteristic polynomial theory," Optical Engineering 37(8), (1 August 1998). http://dx.doi.org/10.1117/1.601753
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KEYWORDS
Phase measurement

Phase shifts

Optical engineering

Algorithm development

Detection and tracking algorithms

Fourier transforms

Instrumentation engineering

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