文章摘要
杜向华,朱海潮,毛荣富,朱海鹏.基于支持向量回归外推的统计最优近场声全息研究[J].声学技术,2011,(5):383~386
基于支持向量回归外推的统计最优近场声全息研究
Study of statistically optimized near-field acoustical holography based on hologram data extrapolation with support vector regression
投稿时间:2010-11-22  修订日期:2011-01-31
DOI:
中文关键词: 统计最优近场声全息  支持向量回归  全息数据外推
英文关键词: statistically optimized near field acoustic holography  support vector regression  hologram data extrapolation
基金项目:
作者单位E-mail
杜向华  xhdu1981@yahoo.com.cn 
朱海潮   
毛荣富   
朱海鹏   
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中文摘要:
      通过数值仿真方法,研究统计最优近场声全息中全息面孔径大小对重建精度影响。结果表明当全息面孔径大于重建面孔径2个采样间隔便能获得较高的重建精度,再继续增大全息面孔径也可以提高重建精度,但是趋势变缓。在此基础上,进一步提出了一种利用支持向量回归对全息面孔径进行外推的方法,在不增加测量孔径的前提下,可以通过数据外推增大全息面孔径,提高重建精度。对方形简支钢板辐射声场的仿真结果,验证了方法的有效性。
英文摘要:
      The influence of hologram aperture on reconstruction precision is studied in detail by numerical simulation.In statistically optimized near-field acoustical holography,when the hologram aperture is 2 sample intervals bigger than reconstruction plane aperture,it achieves a satisfied accuracy.If the hologram aperture increases after that,the reconstruction accuracy grows slowly.Base on the result,a data extrapolation method based on support vector regression is presented.By using the extrapolated hologram data,the reconstruction accuracy can be improved with the measured data.The presented approach has been validated by numerical simulation results in radiation sound field of simply-supported square steel plate.
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