中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Real-time Signal Processing for Shipborne FOG Based on Lifting Wavelet Analysis

文献类型:期刊论文

作者Yi, Bin; Bao, Qiliang
刊名AER-Advances in Engineering Research: 5th International Conference on Environment, Materials, Chemistry and Power Electronics (EMCPE)
出版日期2016
卷号84页码:222-226
关键词Lifting Wavelet Shipborne Fog Real-time Signal Processing
ISSN号2352-5401
文献子类C
英文摘要In the visual axis stabilization system under the background of the shipboard, it is necessary to use the high-frequency and low-frequency of the FOG output signal, respectively. For the practical application, this paper proposes a method which contains de-noising and signal separation. This paper analysis the characteristics of the FOG output signal under shipboard conditions, and then based on lifting wavelet transform, select the appropriate wavelet basis, appropriate sliding window size and decomposition scale. Use MATLAB software simulation, the results show that the algorithm can meet realization of real-time premise de-noising and signal separation.
语种英语
WOS记录号WOS:000412056500047
源URL[http://ir.ioe.ac.cn/handle/181551/8533]  
专题光电技术研究所_光电工程总体研究室(一室)
作者单位1.[Yi, Bin
2.Bao, Qiliang] Chinese Acad Sci, Key Lab Opt Engn, Chengdu 610209, Sichuan, Peoples R China
推荐引用方式
GB/T 7714
Yi, Bin,Bao, Qiliang. Real-time Signal Processing for Shipborne FOG Based on Lifting Wavelet Analysis[J]. AER-Advances in Engineering Research: 5th International Conference on Environment, Materials, Chemistry and Power Electronics (EMCPE),2016,84:222-226.
APA Yi, Bin,&Bao, Qiliang.(2016).Real-time Signal Processing for Shipborne FOG Based on Lifting Wavelet Analysis.AER-Advances in Engineering Research: 5th International Conference on Environment, Materials, Chemistry and Power Electronics (EMCPE),84,222-226.
MLA Yi, Bin,et al."Real-time Signal Processing for Shipborne FOG Based on Lifting Wavelet Analysis".AER-Advances in Engineering Research: 5th International Conference on Environment, Materials, Chemistry and Power Electronics (EMCPE) 84(2016):222-226.

入库方式: OAI收割

来源:光电技术研究所

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