TY - GEN
T1 - Adaptive noise filtering of sinusoidal signals with unknown nonlinear phase
AU - Juarez-Salazar, Rigoberto
AU - Diaz-Ramirez, Victor H.
N1 - Publisher Copyright:
© COPYRIGHT 2017 SPIE. Downloading of the abstract is permitted for personal use only.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85033549708&partnerID=8YFLogxK
U2 - 10.1117/12.2273209
DO - 10.1117/12.2273209
M3 - Contribución a la conferencia
AN - SCOPUS:85033549708
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Optics and Photonics for Information Processing XI
A2 - Diaz-Ramirez, Victor H.
A2 - Marquez, Andres
A2 - Awwal, Abdul A. S.
A2 - Vazquez, Mireya Garcia
A2 - Iftekharuddin, Khan M.
PB - SPIE
T2 - Optics and Photonics for Information Processing XI 2017
Y2 - 7 August 2017 through 8 August 2017
ER -