哈尔滨工程大学学报Issue(5)：544-551,8.DOI:10.3969/j.issn.1006-7043.201305016
全息数据外推与插值技术的极限学习机方法
Hologram data extrapolation and interpolation method based on the extreme learning machine
摘要
Abstract
Due to the finite measurement aperture in the near-field acoustic holography(NAH)technology,a meth-od for hologram data extrapolation and interpolation based on the neural network extreme learning machine was pro-posed. The network was constructed by treating the measurement data of the initial holographic plane as the training sample of the network and the acoustic field of the unknown holographic plane as the target value of the forecast, thus realizing extrapolation and interpolation of the holographic data,and then the parameters were analyzed that in-fluence the results of extrapolation and interpolastion.Comparisons of the reconstructions which using the extrapola-tion or interpolation holographic data,show that the reconstruction results obtained by this method achieve better sound field reconstruction accuracy as compared with the traditional method. The sound field reconstruction accura-cy can be effectively improved by the data extrapolation from small aperture measurement data. The accuracy and the resolution of the reconstruction with a few sensors can also be effectively improved by the data interpolation. This interpolation technology can also be used in a non-free acoustic field environment. The robustness and superiority are verified by the simulation results.关键词
极限学习机/数据外推/数据插值/近场声全息/重建误差/测量孔径/空间分辨率Key words
extreme learning machine/data extrapolation/data interpolation/near-field holography/reconstruction error/measurement aperture/field reconstruction accuracy分类
通用工业技术引用本文复制引用
孙超,何元安,商德江,刘月婵..全息数据外推与插值技术的极限学习机方法[J].哈尔滨工程大学学报,2014,(5):544-551,8.基金项目
国家自然科学基金资助项目 （）
