New adaptive phase-shifting algorithm for temporal phase evaluation

2002 ◽  
Author(s):  
Pablo D. Ruiz ◽  
Guillermo H. Kaufmann ◽  
Jonathan M. Huntley
Keyword(s):  
Phase Shifting ◽  
Temporal Phase ◽  
Phase Evaluation

Temporal phase evaluation using a novel adaptive phase-shifting algorithm

2003 ◽  
Author(s):  
Pablo D. Ruiz ◽  
Guillermo H. Kaufmann ◽  
Jonathan M. Huntley
Keyword(s):  
Phase Shifting ◽  
Temporal Phase ◽  
Phase Evaluation

scholarly journals Adaptive phase-shifting algorithm for temporal phase evaluation

2003 ◽  
Vol 20 (2) ◽  
pp. 325 ◽  
Author(s):  
Pablo D. Ruiz ◽  
Jonathan M. Huntley ◽  
Guillermo H. Kaufmann
Keyword(s):  
Phase Shifting ◽  
Temporal Phase ◽  
Phase Evaluation

scholarly journals Phase Shift Strategies in Phase Shifting Time Averaging Interferometry

2021 ◽  
Author(s):  
A. Styk ◽  
H. Dziubecka - Bala
Keyword(s):  
Vibration Amplitude ◽  
Phase Distribution ◽  
Amplitude Distribution ◽  
Phase Shifting ◽  
Mode Shapes ◽  
Time Averaging ◽  
Calculation Algorithm ◽  
Temporal Phase ◽  
Speed Up ◽  
Phase Evaluation

AbstractClassical time-averaging interferometry technique is widely used for MEMS/MOEMS dynamic behavior investigations. It provides useful information on resonant vibration frequencies and mode shapes in the form of Bessel fringe images. To evaluate the information on objects’ vibration amplitude distribution, one needs to further process Bessel fringe images (besselograms). Among different available approaches to besselograms processing, Temporal Phase Shifting is of particular interest since it provides the most accurate results. However, it requires an additional cumbersome correction routine via specially designed look-up-tables fitted to the calculation algorithm used. In this paper, we numerically investigate the possibility of reducing Bessel images argument (phase) evaluation error by different phase shifting strategies. Two different 5 step algorithms are investigated for that purpose. Additionally, a quick and robust correction procedure based on evaluated phase distribution is presented. It allows us to speed up the calculations significantly. Moreover, such an approach is much less susceptible to noise in comparison to a look-up-table solution.

scholarly journals An Error-Reduction Method for Temporal Phase Unwrapping Based on Double Three-Step Phase-Shifting and Least-Squares Fitting

2012 ◽  
Vol 6-7 ◽  
pp. 76-81
Author(s):  
Yong Liu ◽  
Ding Fa Huang ◽  
Yong Jiang
Keyword(s):  
Least Squares ◽  
Reduction Method ◽  
Intermediate Phase ◽  
Error Reduction ◽  
Phase Unwrapping ◽  
Phase Shifting ◽  
Surface Measurement ◽  
Acquisition Time ◽  
Least Squares Fitting ◽  
Temporal Phase

Phase-shifting interferometry on structured light projection is widely used in 3-D surface measurement. An investigation shows that least-squares fitting can significantly decrease random error by incorporating data from the intermediate phase values, but it cannot completely eliminate nonlinear error. This paper proposes an error-reduction method based on double three-step phase-shifting algorithm and least-squares fitting, and applies it on the temporal phase unwrapping algorithm using three-frequency heterodyne principle. Theoretical analyses and experiment results show that this method can greatly save data acquisition time and improve the precision.

Temporal phase evaluation of transients in the Brazilian cuíca drum

2015 ◽  
Vol 138 (3) ◽  
pp. 1888-1888
Author(s):  
Tatiana Statsenko ◽  
Wilfried Kausel
Keyword(s):  
Temporal Phase ◽  
Phase Evaluation

Tunable eight-frame filters with arbitrary steps for temporal phase shifting

Optik ◽  
2015 ◽  
Vol 126 (24) ◽  
pp. 5083-5087
Author(s):  
J.C. Gutiérrez-García ◽  
J.F. Mosiño ◽  
Amalia Martínez
Keyword(s):  
Phase Shifting ◽  
Temporal Phase

Intensity-based method for selection of valid interferometric data in temporal phase shifting interferometry

2015 ◽  
Vol 54 (2) ◽  
pp. 024106 ◽  
Author(s):  
Jaime Sánchez-Paredes ◽  
Gilberto Silva-Ortigoza ◽  
Jorge Castro-Ramos
Keyword(s):  
Phase Shifting ◽  
Phase Shifting Interferometry ◽  
Temporal Phase ◽  
Selection Of

Phase noise optimization in temporal phase-shifting digital holography with partial coherence light sources and its application in quantitative cell imaging

2009 ◽  
Vol 48 (8) ◽  
pp. 1463 ◽  
Author(s):  
Christian Remmersmann ◽  
Stephan Stürwald ◽  
Björn Kemper ◽  
Patrik Langehanenberg ◽  
Gert von Bally
Keyword(s):  
Phase Noise ◽  
Digital Holography ◽  
Cell Imaging ◽  
Phase Shifting ◽  
Partial Coherence ◽  
Light Sources ◽  
Noise Optimization ◽  
Temporal Phase
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