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Proceedings Paper

Adaptive noise filtering of sinusoidal signals with unknown nonlinear phase
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Paper Abstract

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.

Paper Details

Date Published: 24 August 2017
PDF: 6 pages
Proc. SPIE 10395, Optics and Photonics for Information Processing XI, 103950X (24 August 2017); doi: 10.1117/12.2273209
Show Author Affiliations
Rigoberto Juarez-Salazar, CONACYT-Instituto Politécnico Nacional - CITEDI (Mexico)
Victor H. Diaz-Ramirez, Instituto Politécnico Nacional - CITEDI (Mexico)


Published in SPIE Proceedings Vol. 10395:
Optics and Photonics for Information Processing XI
Khan M. Iftekharuddin; Abdul A. S. Awwal; Mireya García Vázquez; Andrés Márquez; Víctor H. Diaz-Ramirez, Editor(s)

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