期刊文献+

压缩感知等效源法近场声全息关键参数选取 被引量:1

Research on key parameters selection of near field acoustic holography based on compressed sensing equivalent source method
下载PDF
导出
摘要 等效源距离是决定等效源法近场声全息精度的关键参数,传统等效源法中等效源距离根据传递矩阵奇异值分布进行选取,但随着压缩感知的引入,该方法不再适用.通过对压缩感知性质与奇异值分布联合研究,提出一种基于传递矩阵最大列相关系数的压缩感知等效源法的近场声全息等效源位置选取方式.研究结果表明,压缩感知等效源法的等效源距离选取与稀疏基选取有关,传统等效源选取范围距离重建面0.030~0.100 m,而带有稀疏基的等效源选取范围距离重建面0.010~0.060 m,在使用适当稀疏基的情况下,压缩感知方法的等效源布置距离较传统等效源法更为靠近重建面. The equivalent source distance is the key parameter to determine the accuracy of near-field acoustic holography.In traditional equivalent source method,the equivalent source distance is selected according to the singular value distribution of transfer matrix,but with the introduction of compressed sensing,this method is no longer applicable.Based on the joint study of the properties of compressed sensing and singular value distribution,a method of selecting the equivalent source position of compressed near-field acoustic holography based on the maximum column correlation coefficient of transfer matrix is proposed.The results show that the selection of the equivalent source distance is related to the selection of the sparse basis,the traditional equivalent source selection range is from 0.030 m to 0.100 m at the reconstruction surface,while the selection range of equivalent source with sparse basis is from 0.010 m to 0.060 m at the reconstruction surface,which proves that the equivalent source placement distance of the compressed sensing method is closer to the reconstruction surface than that by the traditional equivalent source method when the appropriate sparse basis is used.
作者 魏晟弘 伍松 郑贤 WEI Shenghong;WU Song;ZHENG Xian(School of Mechanical and Automotive Engineering,Guangxi University of Science and Technology,Liuzhou 545006,China;Guangxi Key Laboratory of Automobile Component and Vehicle Technology(Guangxi University of Science and Technology),Liuzhou 545006,China)
出处 《广西科技大学学报》 2021年第4期50-57,共8页 Journal of Guangxi University of Science and Technology
基金 国家自然科学基金项目(51665006) 广西汽车零部件与整车技术重点实验室自主研究课题(2017GKLACVTZZ01)资助.
关键词 近场声全息 压缩感知 奇异值分解 等效源法 声模态 near-field acoustic holography compressed sensing singular value decomposition equiralent source method acoustic mode
  • 相关文献

参考文献4

二级参考文献29

  • 1于飞,陈剑,李卫兵,陈心昭.一种稳健的全波数声场重构技术[J].中国科学(E辑),2004,34(9):1069-1080. 被引量:7
  • 2刘吉英.压缩感知理论及在成像中的应用[D].国防科学技术大学.2010
  • 3A Mehmet,P Jinsoo,T Vahid.A Coding Theory Approach to Noisy Compressive Sensing Using Low Density Frames[].IEEE Trans on Signale Processing.2011
  • 4DONOHO D L,TSAIG Y,DRORI I,et al.Sparse solution of underdetermined system of linear equations by stagewise orthogonal matching pursuit[].IEEE Transactions on Information Theory.2012
  • 5D.L.Donoho.Compressed sensing[].IEEE Transactions on Information Theory.2006
  • 6D.Wei,O.Milenkovic.Subspace pursuit for compressivesensing signal reconstruction[].IEEE Transactions on Information Theory.2009
  • 7Yu Lifeng,Li Gang,Chang Liping.Optimizing projection matrixfor compressed sensing systems[].th InternationalConference on InformationCommunications and SignalProcessing(ICICS).2011
  • 8E.J.Candes,T.Tao.Near-optimal signal recovery fromrandom projections:universal encoding strategies[].IEEETransInformation Theory.2006
  • 9M.F.Duarte,M.A.Davenport,D.Takhar et al.Single-pixelimaging via compressive sampling[].IEEE Signal ProcessingMagazine.2008
  • 10M.Elad.Optimized projections for compressed sensing[].IEEE Transactions on Signal Processing.2007

共引文献19

同被引文献4

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部