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

scholarly journals Nondestructive testing using temporal phase evaluation in speckle interferometry

2000 ◽  
Vol 40 (1) ◽  
pp. 106-111 ◽  
Author(s):  
C. Joenathan ◽  
B. Franze ◽  
P. Haible ◽  
H. J. Tiziani
Keyword(s):  
Nondestructive Testing ◽  
Speckle Interferometry ◽  
Temporal Phase ◽  
Phase Evaluation

Spectral and temporal phase evaluation for interferometry and speckle applications

1999 ◽  
Author(s):  
Hans J. Tiziani ◽  
C. Joenathan ◽  
Bernhard Franze ◽  
Pascal Haible
Keyword(s):  
Temporal Phase ◽  
Phase Evaluation

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.

Speckle interferometry with temporal phase evaluation for measuring large-object deformation

1998 ◽  
Vol 37 (13) ◽  
pp. 2608 ◽  
Author(s):  
C. Joenathan ◽  
B. Franze ◽  
P. Haible ◽  
H. J. Tiziani
Keyword(s):  
Speckle Interferometry ◽  
Large Object ◽  
Temporal Phase ◽  
Phase Evaluation
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