东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2003, Vol. 24 ›› Issue (4): 307-310.DOI: -

• 论著 •    下一篇

基于正则方法与迭代技术相结合的复杂温度场重建算法

田丰;邵富群;王福利   

  1. 东北大学信息科学与工程学院;东北大学信息科学与工程学院;东北大学信息科学与工程学院 辽宁沈阳110004
  • 收稿日期:2013-06-23 修回日期:2013-06-23 出版日期:2003-04-15 发布日期:2013-06-23
  • 通讯作者: Tian, F.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目 (5 0 0 740 16)

Complex temperature field reconstruction algorithm based on combination of regularization method and iterative technology

Tian, Feng (1); Shao, Fu-Qun (1); Wang, Fu-Li (1)   

  1. (1) Sch. of Info. Sci. and Eng., Northeastern Univ., Shenyang 110004, China
  • Received:2013-06-23 Revised:2013-06-23 Online:2003-04-15 Published:2013-06-23
  • Contact: Tian, F.
  • About author:-
  • Supported by:
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摘要： 针对傅里叶正则算法在复杂温度场重建过程中存在的不足 ,首先用正则化方法获得温度场重建这一不适定问题的稳定解 ,然后利用迭代技术对解进行一次迭代优化修正 ,充分考虑观测矩阵降质对温度场重建的影响·提出一种基于正则化方法与一次迭代技术相结合的复杂温度场重建算法·仿真结果表明该算法温度场重建精度优于傅里叶正则算法 ,能快速而较高精度地重建出复杂温度场二维温度分布

关键词: 正则化, 声学图像重建, 重建算法, 复杂温度场, 逆问题, 迭代技术

Abstract: The Fourier regularizing algorithm in reconstructing complex temperature field was discussed. The stable solution of temperature-field reconstruction problem was obtained by using regularization method, and then the solution was modified by using one-time iterative technology for optimization. Considering the influence of observation matrix on the complex temperature-field reconstruction a new complex temperature field reconstruction algorithm was proposed based on combination of regularization method and one-time iterative technology. The proposed method is fast and more accurate than Fourier regularizing algorithm.

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