From Event: SPIE Optical Engineering + Applications, 2017
A self-tuning filter for noise reduction in sinusoidal signals is proposed. Unlike the conventional sine fitting methods, no a priori knowledge of the encoded phase distribution is assumed. For this, an analytical model with three parameters (the average, the amplitude of the sinusoid, and the standard deviation of the noise) is used. The estimated standard deviation is used for adaptively tuning the noise filter. Obtained results show the feasibility of the proposal for fringe pattern normalization.
Rigoberto Juarez-Salazar and Victor H. Diaz-Ramirez, "Adaptive noise filtering of sinusoidal signals with unknown nonlinear phase," Proc. SPIE 10395, Optics and Photonics for Information Processing XI, 103950X (Presented at SPIE Optical Engineering + Applications: August 08, 2017; Published: 24 August 2017); https://doi.org/10.1117/12.2273209.
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