Phase estimation using a state-space approach based method
The paper demonstrates a phase estimation method in fringe analysis. The proposed method relies on local polynomial phase approximation and subsequent state-space formulation. The polynomial approximation of phase transforms phase extraction into a parameter estimation problem, and the state-space modeling allows the application of Kalman filter to estimate these parameters. The performance of the proposed method is demonstrated using simulation and experimental results. (C) 2013 Elsevier Ltd. All rights reserved.