Paper
19 October 2010 Noise filtering for MoireFringe signals based on variable step size adaptive neural network algorithm
Meng-jun Lv, Qi Guo, Chun-liang Zhang, Yang Meng
Author Affiliations +
Abstract
An adaptive filtering algorithm based on neural network is used to restrain noises of MoiréFringe signals. How to realize this algorithm and its efficiency are studied followed. After analyzing the noises sources, the reason of adopting this method is discussed. The realization of the algorithm and how to adjust the step size are made out. We subdivide the signals filtered by way of tangent later. Based on comparing the characteristics of the original and the created signals, it is showed that the subdivision precision is improved. When we subdivide circular grating MoiréFringe to 512 times by using this algorithm, the maximum error is 1.236" in one individual pulse. The effect of this algorithm is better than routine filtering methods because it has wide frequency range in improving the MoiréFringe signals quality and excellent data preparation for subdivision.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Meng-jun Lv, Qi Guo, Chun-liang Zhang, and Yang Meng "Noise filtering for MoireFringe signals based on variable step size adaptive neural network algorithm", Proc. SPIE 7656, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 76567L (19 October 2010); https://doi.org/10.1117/12.884772
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Electronic filtering

Digital filtering

Neural networks

Interference (communication)

Evolutionary algorithms

Optical filters

Nonlinear filtering

RELATED CONTENT

Nonlinear filters based on ordering by FFT structure
Proceedings of SPIE (March 25 1996)
Optimal design of 2D digital filters based on neural networks
Proceedings of SPIE (February 08 2005)
Stanford neural network research
Proceedings of SPIE (August 19 1993)
Learning type of median and mean hybrid filters and a...
Proceedings of SPIE (April 06 1998)
Noise removal and deformation elimination
Proceedings of SPIE (May 08 2001)

Back to Top