Adaptive noise filtering of sinusoidal signals with unknown nonlinear phase

被引：0
|
作者：
Juarez-Salazar, Rigoberto [1 ]
Diaz-Ramirez, Victor H. [2 ]
机构：
[1] Inst Politecn Nacl CITEDI, CONACYT, Av Inst Poltecn Nacl 1310, Tijuana 22435, BC, Mexico
[2] Inst Politecn Nacl CITEDI, Av Inst Poltecn Nacl 1310, Tijuana 22435, BC, Mexico
来源：
OPTICS AND PHOTONICS FOR INFORMATION PROCESSING XI | 2017年 / 10395卷
关键词：
Wiener filter; sine fitting; fringe pattern normalization; FRINGE ANALYSIS; PARAMETER-ESTIMATION; SHIFTING ALGORITHM; AMPLITUDE;
D O I：
10.1117/12.2273209
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
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.
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页数：6
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