Discussion and conclusions
Recurrence fringe processing methods are based on difference equations formalism, and a priori knowledge about fringes should be included in Eq. (16) before calculations. It means that recurrence parametric methods are more specialized providing advantages in accuracy, noise-immunity and processing speed. At first sight, requirement to accurate a priori knowledge seems like restriction. However, almost the same information is needed after calculation in conventional methods to interpret processing results. Parametric approach allows one to use a priori knowledge in well-defined form including non-stationary and nonlinear fringe transformations. Thus, parametric approach presents flexible tool for dynamic fringe analysis and processing. The advantages of the recurrence algorithms considered consist in high noise-immunity and signal processing speed.
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Gurov, I., Zakharov, A. (2006). Dynamic evaluation of fringe parameters by recurrence processing algorithms. In: Osten, W. (eds) Fringe 2005. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-29303-5_13
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