.png){kind=icon}
.png){kind=icon}
Return
Two-step phase demodulation algorithm based on quadratic phase parameter estimation using state space analysis
.png){kind=icon}
OA
AI
DOI：10.1016/j.optlaseng.2018.05.012.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
We propose a noise robust two-step phase shifting algorithm for the evaluation of random and unknown phase step. In this algorithm, the phase within a small size two-dimensional window around a user selected pixel in an interferogram is approximated as a quadratic surface. The problem of quadratic phase fitting parameter estimation is formulated as a state space analysis performed using the extended Kalman filter. The phase step is evaluated from the estimated parameters and subsequently the interferogram phase distribution is obtained. Simulation and experimental results are demonstrated.
Keywords:
Phase estimation
Two-step phase shifting interferometry
Quadratic phase
State space analysis
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3.7
Papers:
7.2K
Citations:
1.7W