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.