Acoustic Temperature Field Reconstruction Using Inverse Multiquadrics Expansion and Truncated Singular Value Decomposition

摘要：

A new acoustic temperature field reconstruction algorithm is proposed.First expand the sound slowness function over a finite set of inverse multiquadrics series,and then obtain a stable solution by using truncated singular value decomposition of matrix.Reconstructions of five temperature field models by using exact and corrupted time-of-flight data demonstrate that the new algorithm has good ability in complex temperature field reconstruction.

作者: Hua Yan Kexin Cui Ying Xu Lijun Liu Shaobo Xu

作者单位: School of Information Science and Engineering,Sheyang University of Technology Shenyang 110178,China

会议类型: 国际会议

会议名称: 第一届智能网络与智能系统国际会议(ICINIS 2008)(The First International Conference on Intelligent Networks and Intelligent Systems)

会议地点: 武汉

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）