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Proceedings Paper

Noise filtering for MoiréFringe signals based on variable step size adaptive neural network algorithm
Author(s): Meng-jun Lv; Qi Guo; Chun-liang Zhang; Yang Meng
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Paper 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.

Paper Details

Date Published: 20 October 2010
PDF: 7 pages
Proc. SPIE 7656, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 76567L (20 October 2010); doi: 10.1117/12.884772
Show Author Affiliations
Meng-jun Lv, First Aeronautical College of AF (China)
Qi Guo, First Aeronautical College of AF (China)
Chun-liang Zhang, First Aeronautical College of AF (China)
Yang Meng, First Aeronautical College of AF (China)


Published in SPIE Proceedings Vol. 7656:
5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment

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